Fundamentals of Applied Statistics

Fundamentals of Applied Statistics

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  • Author: S. C. Gupta
  • Publisher:
  • ISBN: 9788180547058
  • Category : Statistics
  • Languages : en
  • Pages :


Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics

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  • Author: S.C. Gupta
  • Publisher: Sultan Chand & Sons
  • ISBN: 9351611736
  • Category : Mathematics
  • Languages : en
  • Pages : 22

Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Some prominent additions are given below: 1. Variance of Degenerate Random Variable 2. Approximate Expression for Expectation and Variance 3. Lyapounov’s Inequality 4. Holder’s Inequality 5. Minkowski’s Inequality 6. Double Expectation Rule or Double-E Rule and many others


Foundations of Applied Statistical Methods

Foundations of Applied Statistical Methods

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  • Author: Hang Lee
  • Publisher: Springer Nature
  • ISBN: 3031422961
  • Category : Medical
  • Languages : en
  • Pages : 191

This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This text may be used as a guidebook for applied researchers or as an introductory statistical methods textbook for students, not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination.


Fundamentals of Applied Statistics

Fundamentals of Applied Statistics

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  • Author: S. C. Gupta
  • Publisher:
  • ISBN: 9788170141518
  • Category : .
  • Languages : en
  • Pages : 616


Learn R for Applied Statistics

Learn R for Applied Statistics

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  • Author: Eric Goh Ming Hui
  • Publisher: Apress
  • ISBN: 1484242009
  • Category : Computers
  • Languages : en
  • Pages : 254

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will LearnDiscover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.


Foundations and Applications of Statistics

Foundations and Applications of Statistics

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  • Author: Randall Pruim
  • Publisher: American Mathematical Soc.
  • ISBN: 1470428482
  • Category : Mathematical statistics
  • Languages : en
  • Pages : 820

Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment R is used throughout the text and is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations. In the second edition, the R code has been updated throughout to take advantage of new R packages and to illustrate better coding style. New sections have been added covering bootstrap methods, multinomial and multivariate normal distributions, the delta method, numerical methods for Bayesian inference, and nonlinear least squares. Also, the use of matrix algebra has been expanded, but remains optional, providing instructors with more options regarding the amount of linear algebra required.


Applied Statistics for Engineers and Scientists

Applied Statistics for Engineers and Scientists

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  • Author: Jay L. Devore
  • Publisher: Cengage Learning
  • ISBN: 9781133111368
  • Category : Mathematics
  • Languages : en
  • Pages : 0

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Applied Statistics in Business and Economics

Applied Statistics in Business and Economics

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  • Author: David P. Doane
  • Publisher:
  • ISBN: 9780071108140
  • Category : Commercial statistics
  • Languages : en
  • Pages : 834

David Doane offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction.


Fundamentals of Applied Statistics and Surveys

Fundamentals of Applied Statistics and Surveys

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  • Author: David .B. Orr
  • Publisher: CRC Press
  • ISBN: 9780412988219
  • Category : Mathematics
  • Languages : en
  • Pages : 374

As the world becomes increasingly complex, that complexity tends to be reflected in statistical approaches to things that comprise our everyday experiences. Many people now find that understanding statistics is a skill they need to succeed in the many disciplines and occupations that rely on data and numerical information. While they may not need computational skills, rigorous mathematics, or the ability to actually design studies themselves, they do need some background in the concepts essential to understanding and intelligently applying common statistical procedures and ideas. Fundamentals of Applied Statistics and Surveys provides that background. Heavily focused on conceptual content, its approach is discursive rather than computational. The author emphasizes the more easily understandable, and more generally useful, techniques most frequently encountered by those in careers other than statistics. Aimed at users of statistical information, rather than producers of it, Fundamentals of Applied Statistics and Surveys provides an accessible treatment of basic concepts and methods without involving the reader in extensive mathematics or complicated computations.


Modern Applied Statistics with S-PLUS

Modern Applied Statistics with S-PLUS

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  • Author: W.N. Venables
  • Publisher: Springer Science & Business Media
  • ISBN: 1475731213
  • Category : Computers
  • Languages : en
  • Pages : 508

This best-selling guide has been completely updated to present the newest features of S-PLUS 5.0, and includes the very latest computationally-intensive methods and techniques. In addition, extensive software libraries, data sets, and complements will be available online. "the task the authors have undertaken is challenginggetting new S/S-Plus users to quickly learn the fundamentals of the language and presenting a modern approach to data analysis through numerous examples from many areas of statistics. They succeed in this" TECHNOMETRICS