Probability and Statistics – MAS291

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Probability and Statistics – MAS291

In oder to supplying the better references to students, lecturers and researchers; FPT Library and Information Center delighted to inform you about the subject guide for this subject: Probability and Statistics.

Main book

Applied statistics and probability for engineers

applied-statistics-and-probability-for-engineers

Call number: 519.5 M787

Author: Douglas C. Montgomery, George C. Runger.

4th ed. – Hoboken, N.J. : John Wiley & Sons, 2007. – xvi, 768 p. : ill. ; 26 cm

ISBN: 9780471794738

This book features real engineering situations, and real engineering data. With Montgomery and Runger’s bestselling “Engineering Statistics” text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You’ll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real world, engineering based examples and exercises. Now revised, this Fourth Edition of “Applied Statistics and Probability for Engineers” features many new homework exercises, including a greater variation of problems and more computer problems. Key features are: the text treats all topics in a way that reflects today s engineering realities; in the probability chapters, the authors emphasize engineering specific examples, rather than counting methods or artificial applications such as gambling; examples and exercises throughout the text use real data and real engineering situations; and, coverage of probability is lively and interesting. It is complete but concise so as not to take over the content of the entire text. Thorough coverage of regression modeling, design of engineering experiments, and statistical process control from experts in these topics makes the book especially useful as a reference.

Reference books

Elementary Statistics Using Excel

elementary-statistics-using-excel

Author: Triola, Mario F. – Third edition.

US : Pearson Addison Wesley, 2007. – 915tr. ; 29cm

Library code: FSE (10 photos)

ISBN: 0321365135

Together we can raise confidence to a new level. Triola’s Elementary Statistics Using Excel, Third Edition, promotes statistical literacy and critical thinking, using Excel as the key tool. This book guides students through the concepts behind the calculations, raising confidence in their ability to do statistics. Elementary Statistics Using Excel, Third Edition, is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel’s limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks. Datasets and other resources (where applicable) for this book are available here.

Elementary Statistics Using Excel

elementary-statistics-using-excel-4th

Call number: 519.5 T834

Author: Mario F. Triolaus

Addition – Wesley, 2010

Library code: FSE (1) + FSB (97)

Call number: 519.5 T834

ISBN: 9780321564962

Elementary Statistics Using Excel, Fourth Edition, offers a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheets for data analysis. Extensive Excel(R) instructions are provided along with typical displays of results, as well as information about Excel’s limitations and alternative approaches to problem-solving. Real data in many examples help readers see the prevalence of statistics in the real world. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks. Datasets and other resources (where applicable) for this book are available here.

Probability and Statistics

probability-and-statistics-degroot-morris-h-schervish-mark-j

Author: DeGroot, Morris H., Schervish, Mark J.

Third Edition. – Addison Wesley, 2007. – 816tr. ; 30cm

ISBN: 0321204735, 9780201524888

Library code: FSE (5 photos)

Probability & Statistics was written for a one or two semester probability and statistics course offered primarily at four-year institutions and taken mostly by sophomore and junior level students, majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus. The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data.

 Elementary statistics: a brief version

elementary-statistics-a-brief-version

Call number: 519.5 B658

Author: Allan G. Bluman.

3rd ed. – Boston: McGraw-Hill Higher Education, 2006. – xxvii, 659 p. : col. ill. ; 26 cm. + important formulas

Call number: 519.5

Library code: FSE (1)

ISBN: 9780073305462

Elementary statistics is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition features increased emphasis on Excel, MINITAB, and the TI-83 Plus graphing calculator, computing technologies commonly used in such coureses.

Probability and Statistics for Engineers and Scientists

probability-and-statistics-for-engineers-and-scientists

Author: Ronald E. Walpole.

Sixth Edition. – USA: Prentice Hall. – 739tr. ; 29cm

ISBN: 0138402086

Library code: FSE (9 photos)

This classic book provides a rigorous introduction to basic probability theory and statistical inference that is well motivated by interesting, relevant applications.

The new edition features many new, real-data based exercises and examples, an increased emphasis on the analysis of statistical output and greater use of graphical techniques and statistical methods in quality improvement.

Introduction to The Practice of Statistics

introduction-to-the-practice-of-statistics

Call number: 519.5 M821

Author: Moore, David S.

Fourth Edition. – us : W.H.Freeman and Company, 2002. – 828tr. ; 29cm

Library code: FSE (1 + 10 photos)

ISBN: 9780716796572

With its focus on data analysis, statistical reasoning, and the way statisticians actually work, Introduction to the Practice of Statistics is free from an overload of computations. Students are able to go beyond the raw numbers to see what the data actually means. – Now available in a spectacular new edition featuring: – Over 400 new exercises – Frequent Data updates – New applet-based exercises within section and chapter exercise sets, denoted by a special icon. Applets appear on both the CD-ROM and the Web site – Increased statistical software output – “Exploring the Web” boxes in most chapters

Hydrosystems engineering uncertainty analysis

hydrosystems-engineering-uncertainty-analysis

Call number: 627 T926

Author: Yeou-Koung Tung, Ben-Chie Yen.

New York : McGraw-Hill, 2005. – xv, 273 p. : ill. ; 24 cm

Library code: FSE (1)

ISBN: 0071451595

Failure of hydrosystems, such as dams, levees, storm sewers, or pollution control systems, pose threats to the public safety and health as well as potentially inflict enormous damages on properties and environments. Many failures of hydrosystems are mainly attributed by the existence of various uncertainties, including inherent natural randomness and the lack of complete understanding of involved geophysical processes. It is therefore essential to systematically quantify the degree of uncertainty for the problem in hand so that reliability assessment and risk-based design of hydrosystems can be made. The conventional approach of frequency analysis of heavy rainfalls or large floods consider only portion of the uncertainties involved in hydrosystem engineering problems.Over the past two decades or so, there has been a steady growth on the development and application of uncertainty analysis techniques in hydrosystems engineering and other disciplines. The aim of this book is to bring together these uncertainty analysis techniques in one book and to demonstrate their applications and limitations for a wide variety of hydrosystem engineering problems.

Introduction to Probability and Statistics

introduction-to-probability-and-statistics-i-susan-milton

Call number: 519.5 M662

Author: I Susan Milton, Jesse C. Armold.

4th ed. – Boston : McGraw-Hill Higher Education, 2003. – 789tr. ; 24cm

ISBN: 9780071198592

Library code: FSE (2)

This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. – References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. – Some of the more difficult derivations have been moved to an appendix. – Discussion of Tukey’s method of paired comparisons and a section on the use of tolerance limits in quality control.

Elementary statistics: from discovery to decision

elementary-statistics-from-discovery-to-decision

Call number: 519.5 P392

Author: Marilyn K. Pelosi, Theresa M. Sandifer.

Hoboken, NJ : John Wiley & Sons, c2003. – 1 v. (various pagings) : ill. (some col.) ; 29 cm. + 1 computer optical disc (4 3/4 in.)

ISBN: 0471401420

Library code: FSE (1)

When you purchase a NEW copy of Elementary statistics from discovery to decision, you’re not just getting a text, you’re getting access to a host of data files, tutorials, and other CD-based resources! The free CR-Rom that is part of this text package contains the following key resources that are essential to your success: The real-world Data Sets are linked to various exercises and problems in the text. PowerPoint Slides illustrate key concepts from the text. These handy outline slides can be used for taking notes in class! Excel Interactive: Tutorials for Statistics provide hands-on training in the basic functions of Microsoft Excel. Be an Excel expert in record time! KADDSTAT is a menu-driven, statistical analysis plug-in for Excel, designed to provide “point and click” computational capability to perform graphical analysis, descriptive statistics, and international model analysis activities.

Introductory Statistics

introductory-statistics

Call number: 519.5 M282

Author: Prem S. Mann, Edwin C. Hackleman.

5th ed. – Us : John Wiley & Sons, INC, 2004. – 352tr. ; 28cm

ISBN: 0471448176

Library code: FSE (1)

When it comes to learning statistics, Mann delivers the information that business professionals need. The new edition incorporates the most up-to-date methods and applications to present the latest information in the field. It focuses on explaining how to apply the concepts through case studies and numerous examples. Data integrated throughout the chapters come from a wide range of disciplines and media sources. Over 200 examples are included along with marginal notes and step-by-step solutions. The Decide for Yourself feature also helps business professionals explore real-world problems and solutions.

Giáo trình xác suất thống kê

Auhor: Đỗ Huyền Trang.

1. – Giao thông vận tải, 2006. – 248tr. ; 21

Library code: FSE (1)

Call number: 519

Xác suất thống kê

Author: Nguyễn Văn Hộ.

2. – vm : Giáo Dục, 2008. – 243tr. ; 21cm

Library code: FSE (1)

Call number: 519

Mở đầu về lý thuyết xác suất

Author: Đặng Hùng Thắng.

3. – vm : Giáo Dục, 2008. – 219tr. ; 21cm

Library code: FSE (1)

Call number: 519

Bài tập xác suất và thống kê

Author: Đinh Văn Gắng.

4. – Giáo dục, 1999. – 256tr. ; 21cm

Library code: FSE (1)

Call number: 519 G197

Lí thuyết xác suất và thống kê

Author: Đinh Văn Gắng.

5. – Giáo dục, 1999. – 252tr. ; 21cm

Library code: FSE (1)

Call number: 519 G197

Reference Ebooks

How to log in Books24x7: http://fptlibrary.wordpress.com/d%E1%BB%8Bch-v%E1%BB%A5/books24x7-guide/

Basic Statistics Using SAS Enterprise Guide: A Primer.

Author: Der, Geoff, and Brian S. Everitt.

SAS Publishing. © 2007. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=25300&gt; (accessed September 24, 2011)

Emphasizing the practical aspects of SAS analysis, this example-rich guide shows users how to conduct a wide range of statistical analyses without any SAS programming required. Exercises at the end of each chapter help readers consolidate what they have learned.

Statistics Using SAS Enterprise Guide.

Author: Davis, James B.

SAS Publishing. © 2007. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=25302&gt; (accessed September 9, 2011)

Suitable for students new to statistics and to SAS, as well as for experienced professionals, this clearly written text provides an introduction to the basics of SAS Enterprise Guide and to statistics.

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP

Author: Sall, John, Lee Creighton, and Ann Lehman.

Fourth Edition. SAS Publishing. © 2007. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=25306&gt; (accessed September 9, 2011)

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP’s intuitive interface for data analysis. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. This book is a great tool for statistics students or practitioners needing a software-related statistics review.

Applied Statistics: Using SPSS, STATISTICA, MATLAB and R

Author: Marques de Sá, Joaquim P.

Second Edition. Springer. © 2007. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=30934&gt; (accessed September 9, 2011)

This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets. Readers learn which software tools to apply and gain insights into the comparative capabilities of the primary software packages. Major improvements of the second edition are the inclusion of the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers as well as extra examples and exercises.

Data Mining and Statistics for Decision Making.

Author: Tufféry, Stéphane.

John Wiley & Sons (UK). © 2011. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=40918&gt; (accessed September 9, 2011)

Data Mining and Statistics for Decision Making — Stéphane Tufféry, Universitie of Paris-Dauphine, France — Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization’s need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and modern methods of data mining, such as clustering, discriminate analysis, decision trees, neural networks and support vector machines along with illustrative examples throughout the book to explain the theory of these models. Recent methods such as bagging and boosting, decision trees, neural networks, support vector machines and genetic algorithm are also discussed along with their advantages and disadvantages.

Elementary Statistics Using JMP

Author: Schlotzhauer, Sandra D.

SAS Publishing. © 2007. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=20650&gt; (accessed September 9, 2011)

Sandra Schlotzhauer s Elementary Statistics Using JMP(R) provides a guide for doing what the title promises, getting basic statistical analyses from JMP. The book begins with descriptions of getting data into JMP, progresses through graphical and data summary methods, and moves into topics of statistical inference. Later chapters show analysis of variance and regression analysis. She clearly describes how to use the multitude of tools available in JMP in a way that takes the guesswork out of the software. The book is consistent in showing the right amount of material to get readers out of the woods, but not overwhelm them with details. Her long experience with using JMP in the real world is reflected by the presentation of the techniques that every data analyst needs. Elementary Statistics Using JMP(R) will be useful for practical statistical analysis and also as a companion to statistical text books for college and university courses. –Ramon C. Littell, Ph.D., Professor of Statistics

Handbook of Statistical Analysis and Data Mining Applications

Author: Nisbet, Robert, John Elder, and Gary Miner. Academic Press.

© 2009. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=37310&gt; (accessed September 9, 2011)

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries – from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.

Microsoft Excel Data Analysis and Business Modeling

Author: Winston, Wayne L.

Microsoft Press. © 2004. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=6839&gt; (accessed September 9, 2011)

Now you can apply the techniques that business analysts at leading companies use to analyze and transform data into bottom line results. For more than 10 years, well-known consultant and business professor Wayne Winston has been teaching corporate clients and MBA candidates the most effective ways to use Microsoft Excel for data analysis, modeling, and decision making. This practical, business-focused guide delivers the best of Winston’s classroom experience to you in 70+ concise chapters, organized by real-world scenarios. Quickly find and apply exactly the information you need to solve a specific business problem—from asset allocation modeling to estimating exponential growth, forecasting sales, optimizing portfolios, and other critical functions. You also get all the book’s sample files on CD-ROM—ready for use in your own work.

Microsoft Office Excel 2007 Formulas & Functions for Dummies.

Author: Bluttman, Ken, and Peter Aitken.

John Wiley & Sons. © 2007. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=18136&gt; (accessed September 9, 2011)

Make Excel do the math and make sense of your data. Use the Insert Function dialog box, array formulas and functions, and more. Excel 2007 has more than 500 built-in functions. This book looks at the top 150, so you can find out which ones will make your life easier. Want to compare a 15-year mortgage to a 30-year mortgage? Forecast expenses for your college freshman? See how your online business is doing? Here’s the fun and easy way! Discover how to: create worksheets to track costs and revenue; tell the difference among average, median, and mode; work with statistical functions; develop forecasts and track trends; and, manipulate strings and work with database functions.

Statistical Analysis with Excel For Dummies.

Author: Schmuller, Joseph.

 John Wiley & Sons. © 2005. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=11279&gt; (accessed September 9, 2011)

A clear and easy-to-understand guide on using Excel to create and interpret statistics * Shows readers how to use Excel for statistical analysis–even if they haven’t taken a statistics class or if they’re math-challenged–and helps them confidently use Excel to crunch the numbers and interpret the statistics of everyday life, from business and sports stats to gambling odds and medical correlations * Covers formulas and functions, charts and PivotTables, samples and normal distributions, and probabilities and related distributions * Demystifies statistical terms such as median vs. mean, margin of error, standard deviation, permutations, and correlations Joseph Schmuller, PhD (Jacksonville, FL), is a technical architect at Blue Cross-Blue Shield of Florida. He is the author of several books and numerous articles on advanced technology.

Microsoft Office Excel 2007: Data Analysis and Business Modeling

Microsoft Press.Winston, Wayne L.. © 2007. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=18631&gt; (accessed September 9, 2011)

Master the analysis and business modeling techniques that help you transform your data into bottom-line results. Award-winning business professor and corporate consultant Wayne Winston shares the best of his real-world experience in this practical guide now updated for Excel 2007. Use Wayne s proven practices and hands-on exercises to help you work smarter, make better decisions, and gain the competitive edge. Solve real-world business problems with Excel 2007! Maximize profits determine NPV, optimize your product mix, calculate ROI Create best, worst, and most-likely case scenarios for sales Analyze investment performance and help minimize risk Track your personal finances, calculate loan terms, and plan for retirement Use trend and seasonality to forecast revenue Estimate a product s demand curve and manage inventory with precision Interpret the effects of price and advertising on sales Assign a dollar value to customer loyalty Solve work scheduling problems and shorten wait times for customer service queues PLUS predict outcomes of sporting events, presidential elections, and more!C D Includes: Sample files from each chapter Problem-and-solution sets build your expertise! Fully searchable eBook

Excel 2003 Bible.

Author: Walkenbach, John.

John Wiley & Sons. © 2003. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=8303&gt; (accessed September 9, 2011)

The most comprehensive guidebook available on the most popular spreadsheet program, fully updated to include all-new “X” features Written by the leading Excel guru known as “Mr. Spreadsheet,” John Walkenbach, who has written more than thirty books and 300 articles on related topics and maintains the popular Spreadsheet Page at www j-walk.com/ss The definitive reference book for beginning to advanced users, featuring expert advice and hundreds of examples, tips, techniques, shortcuts, work-arounds, and more Covers expanded use of XML and Web services to facilitate data reporting, analysis, importing, and exporting information Explores Excel programming for those who want advanced information CD-ROM includes all templates and worksheets used in the book, as well as sample chapters from all Wiley Office “X” related Bibles and useful third party software, including John Walkenbach’s Power Utility Pak

Excel Formulas and Functions For Dummies.

Author: Bluttman, Ken, and Peter G. Aitken.

2nd Edition. John Wiley & Sons. © 2010. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=34799&gt; (accessed September 9, 2011)

Make Excel do the math and make sense of your data. Use the Insert Function dialog box, array formulas and functions, and more. Excel 2007 has more than 500 built-in functions. This book looks at the top 150, so you can find out which ones will make your life easier. Want to compare a 15-year mortgage to a 30-year mortgage? Forecast expenses for your college freshman? See how your online business is doing? Here’s the fun and easy way! Discover how to: create worksheets to track costs and revenue; tell the difference among average, median, and mode; work with statistical functions; develop forecasts and track trends; and, manipulate strings and work with database functions.

SAS System for Elementary Statistical Analysis,

Author: Schlotzhauer, Sandra D., and Ramon C. Littell

Second Edition. SAS Publishing. © 1997. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=28359&gt; (accessed September 9, 2011)

This updated edition shows how to use the SAS System to perform basic statistical analysis. General topics include creating a data set with the SAS System; summarizing data with descriptive statistics, frequency tables, and bar charts; comparing groups (t-tests, one-way ANOVA, and nonparametric analogues); performing basic linear regression (lines, curves, and two-variable models); performing simple regression diagnostics (residuals plots, studentized residuals); and creating and analyzing tables of data. Using real-life examples, this beginner’s guide bridges the gap between statistics texts and SAS documentation. Supports releases 6.07 and higher of SAS software.

Microsoft Excel 2010: Data Analysis and Business Modeling.

Author: Winston, Wayne L.

Microsoft Press. © 2011. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=37546&gt; (accessed September 9, 2011)

Master the business modeling and analysis techniques that help you transform data into bottom-line results. Award-winning business professor and corporate consultant Wayne Winston shares the best of his real-world experience in this practical, scenario-focused guide?fully updated for Excel 2010. Use Wayne?s proven practices and hands-on examples to help you work smarter, make better decisions, and gain the competitive edge.

Numerical Methods and Statistical Techniques Using C

Author: Goyal, Manish.

Laxmi Publications. © 2009. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=33252&gt; (accessed September 9, 2011)

The Analyst Application

Institute, SAS,

Second Edition. SAS Publishing. © 2003. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=7462&gt; (accessed September 9, 2011)

Discover how to perform statistical analysis using the Analyst Application, a point-and-click interface to basic statistical analysis in SAS. The Analyst Application provides easy access to both statistical analyses and associated graphical tasks. This title includes step-by-step instructions for using the Analyst Application to perform tasks such as hypothesis tests, table analysis, ANOVA, regression, survival analysis, repeated measurements, mixed models, and basic power computations. In addition, this title describes how you can import data from a variety of sources, edit values, compute new variables, rearrange your data table, and manage your results with the results tree. This title is also available online. This title is a useful tool for students and researchers as well as for experienced SAS users who want to learn how to use this convenient interface to widely used statistical, graphical, and reporting techniques.

Statistical Programming with SAS/IML Software

Author: Wicklin, Rick.

SAS Publishing. © 2010. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=40339&gt; (accessed September 9, 2011)

SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin’s Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. In addition to providing a comprehensive introduction to the software, the book also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods in the SAS/IML language. Written for data analysts working in all industries, graduate students, and consultants, Statistical Programming with SAS/IML Software includes numerous code snippets and more than 100 graphs.

Analytic Combinatorics.

Author: Flajolet, Philippe, and Robert Sedgewick.

Cambridge University Press. © 2009. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=30915&gt; (accessed September 9, 2011)

Analytic combinatorics aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the analysis of algorithms and for the study of scientific models in many disciplines, including probability theory, statistical physics, computational biology, and information theory. With a careful combination of symbolic enumeration methods and complex analysis, drawing heavily on generating functions, results of sweeping generality emerge that can be applied in particular to fundamental structures such as permutations, sequences, strings, walks, paths, trees, graphs and maps. This account is the definitive treatment of the topic. The authors give full coverage of the underlying mathematics and a thorough treatment of both classical and modern applications of the theory. The text is complemented with exercises, examples, appendices and notes to aid understanding. The book can be used for an advanced undergraduate or a graduate course, or for self-study.

Common Statistical Methods for Clinical Research with SAS Examples,

Author: Walker, Glenn A.

Second Edition. SAS Publishing. © 2002. Books24x7.

<http://common.books24x7.com/toc.aspx?bookid=16174&gt; (accessed September 9, 2011)

Glenn Walker and Jack Shostak’s Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks–all in one place.

 

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