Mathematical Statistics with Applications in R Book

Mathematical Statistics with Applications in R


  • Author : Kandethody M. Ramachandran
  • Publisher : Elsevier
  • Release Date : 2014-09-14
  • Genre: Mathematics
  • Pages : 826
  • ISBN 10 : 9780124171329

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Mathematical Statistics with Applications in R Excerpt :

Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner. This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students. Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods

Mathematical Statistics with Applications Book
Score: 4
From 1 Ratings

Mathematical Statistics with Applications


  • Author : Dennis Wackerly
  • Publisher : Cengage Learning
  • Release Date : 2014-10-27
  • Genre: Mathematics
  • Pages : 944
  • ISBN 10 : 0495110817

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Mathematical Statistics with Applications Excerpt :

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Modern Mathematical Statistics with Applications Book

Modern Mathematical Statistics with Applications


  • Author : Jay L. Devore
  • Publisher : Springer Nature
  • Release Date : 2021-04-29
  • Genre: Mathematics
  • Pages : 981
  • ISBN 10 : 9783030551568

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Modern Mathematical Statistics with Applications Excerpt :

This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercises based on real data gleaned from publicly available sources. Here is a small but representative selection of scenarios for our examples and exercises based on information in recent articles: Use of the “Big Mac index” by the publication The Economist as a humorous way to compare product costs across nations Visualizing how the concentration of lead levels in cartridges varies for each of five brands of e-cigarettes Describing the distribution of grip size among surgeons and how it impacts their ability to use a particular brand of surgical stapler Estimating the true average odometer reading of used Porsche Boxsters listed for sale on www.cars.com Comparing head acceleration after impact when wearing a football helmet with acceleration without a helmet Investigating the relationship between body mass index and foot load while running The main focus of the book is on presenting and illustrating methods of inferential statistics used by investigators in a wide variety of disciplines, from actuarial science all the way to zoology. It begins with a chapter on descriptive statistics that immediately exposes the reader to the analysis of real data. The next six chapters develop the probability material that facilitates the transition from simply describing data to drawing formal conclusions based on inferential methodology. Point estimation, the use of statistical intervals, and hypothesis testing are the topics of the first three inferential chapters. The remainder of the book explores the use of these methods in a variety of more complex settings. This edition includes many new examples and exercises as well as an introduction to the simulation of events and probability distributions. There

Mathematical Statistics with Applications Book
Score: 2.5
From 3 Ratings

Mathematical Statistics with Applications


  • Author : Dennis Wackerly
  • Publisher : Cengage Learning
  • Release Date : 2014-10-27
  • Genre: Mathematics
  • Pages : 944
  • ISBN 10 : 9781111798789

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Mathematical Statistics with Applications Excerpt :

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Mathematical Statistics With Applications Book

Mathematical Statistics With Applications


  • Author : Asha Seth Kapadia
  • Publisher : CRC Press
  • Release Date : 2017-07-12
  • Genre: Mathematics
  • Pages : 341
  • ISBN 10 : 9781351992046

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Mathematical Statistics With Applications Excerpt :

Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.

Probability and Mathematical Statistics  Theory  Applications  and Practice in R Book
Score: 1
From 1 Ratings

Probability and Mathematical Statistics Theory Applications and Practice in R


  • Author : Mary C. Meyer
  • Publisher : SIAM
  • Release Date : 2019-06-24
  • Genre: Mathematics
  • Pages : 707
  • ISBN 10 : 9781611975789

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Probability and Mathematical Statistics Theory Applications and Practice in R Excerpt :

This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.

Stat Labs Book

Stat Labs


  • Author : Deborah Nolan
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-05-02
  • Genre: Mathematics
  • Pages : 283
  • ISBN 10 : 9780387227436

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Stat Labs Excerpt :

Integrating the theory and practice of statistics through a series of case studies, each lab introduces a problem, provides some scientific background, suggests investigations for the data, and provides a summary of the theory used in each case. Aimed at upper-division students.

Mathematical Statistics Book

Mathematical Statistics


  • Author : Dieter Rasch
  • Publisher : John Wiley & Sons
  • Release Date : 2018-01-09
  • Genre: Mathematics
  • Pages : 688
  • ISBN 10 : 9781119385233

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Mathematical Statistics Excerpt :

Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.

Mathematical Statistics Book

Mathematical Statistics


  • Author : Jun Shao
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-02-03
  • Genre: Mathematics
  • Pages : 592
  • ISBN 10 : 9780387217185

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Mathematical Statistics Excerpt :

This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.

Probability Theory  Random Processes and Mathematical Statistics Book

Probability Theory Random Processes and Mathematical Statistics


  • Author : Y. Rozanov
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Mathematics
  • Pages : 259
  • ISBN 10 : 9789401104494

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Probability Theory Random Processes and Mathematical Statistics Excerpt :

Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. They develop rigorous models for a proper treatment for various 'random' phenomena which we encounter in the real world. They provide us with numerous tools for an analysis, prediction and, ultimately, control of random phenomena. Statistics itself helps with choice of a proper mathematical model (e.g., by estimation of unknown parameters) on the basis of statistical data collected by observations. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. The first part (Ch. 1-3) can serve as a self-contained, elementary introduction to Probability, Random Processes and Statistics. It contains a number of relatively sim ple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Only knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required here. The second part (Ch. 4-6) provides a foundation of Stochastic Analysis, gives information on basic models of random processes and tools to study them. Here a familiarity with elements of functional analysis is necessary. Our intention to make this course fast-moving made it necessary to present important material in a form of examples.

John E  Freund s Mathematical Statistics with Applications Book

John E Freund s Mathematical Statistics with Applications


  • Author : Irwin Miller
  • Publisher : Unknown
  • Release Date : 2018-03-15
  • Genre: Mathematical statistics
  • Pages : 529
  • ISBN 10 : 0134995376

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John E Freund s Mathematical Statistics with Applications Excerpt :

"This text is designed primarily for a two-semester or three-quarter calculus-based course in mathematical statistics."--

Mathematical Statistics Book

Mathematical Statistics


  • Author : A A Borokov
  • Publisher : Routledge
  • Release Date : 2019-01-22
  • Genre: Mathematics
  • Pages : 592
  • ISBN 10 : 9781351433105

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Mathematical Statistics Excerpt :

A wide-ranging, extensive overview of modern mathematical statistics, this work reflects the current state of the field while being succinct and easy to grasp. The mathematical presentation is coherent and rigorous throughout. The author presents classical results and methods that form the basis of modern statistics, and examines the foundations o

Probability Theory with Applications Book
Score: 5
From 3 Ratings

Probability Theory with Applications


  • Author : Malempati M. Rao
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-15
  • Genre: Mathematics
  • Pages : 537
  • ISBN 10 : 9780387277301

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Probability Theory with Applications Excerpt :

This is a revised and expanded edition of a successful graduate and reference text. The book is designed for a standard graduate course on probability theory, including some important applications. The new edition offers a detailed treatment of the core area of probability, and both structural and limit results are presented in detail. Compared to the first edition, the material and presentation are better highlighted; each chapter is improved and updated.

Mathematical Statistics with Applications Book

Mathematical Statistics with Applications


  • Author : Dennis Wackerly
  • Publisher : Duxbury Press
  • Release Date : 2007-09
  • Genre: Mathematics
  • Pages : 192
  • ISBN 10 : 0495385069

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Mathematical Statistics with Applications Excerpt :

Prepare for exams and succeed in your mathematics course with this comprehensive solutions manual! Featuring worked out-solutions to the problems in MATHEMATICAL STATISTICS WITH APPLICATIONS, 7th Edition, this manual shows you how to approach and solve problems using the same step-by-step explanations found in your textbook examples.

An Introduction to Mathematical Statistics and Its Applications Book

An Introduction to Mathematical Statistics and Its Applications


  • Author : Richard J. Larsen
  • Publisher : Pearson College Division
  • Release Date : 2012
  • Genre: Mathematics
  • Pages : 757
  • ISBN 10 : 0321693949

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An Introduction to Mathematical Statistics and Its Applications Excerpt :

Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.