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Mathematical Statistics With Applications In R

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Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R Book
Author : Kandethody M. Ramachandran,Chris P. Tsokos
Publisher : Academic Press
Release : 2020-05-14
ISBN : 0128178167
Language : En, Es, Fr & De

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Book Description :

Mathematical Statistics with Applications in R, Third 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 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. Step-by-step procedure to solve real problems make the topics very accessible. Presents step-by-step procedures to solve real problems, making each topic more accessible Provides updated application exercises in each chapter, blending theory and modern methods with the use of R Includes new chapters on Categorical Data Analysis and Extreme Value Theory with Applications Wide array coverage of ANOVA, Nonparametric, Bayesian and empirical methods

Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R Book
Author : Kandethody M. Ramachandran,Chris P. Tsokos
Publisher : Elsevier
Release : 2014-09-14
ISBN : 012417132X
Language : En, Es, Fr & De

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Book Description :

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

Mathematical Statistics with Applications Book
Author : Dennis D. Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher : Duxbury Press
Release : 2002
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This is the most widely used mathematical statistics text at the top 200 universities in the United States. Premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid undergraduate 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.

Modern Mathematical Statistics with Applications

Modern Mathematical Statistics with Applications Book
Author : Jay L. Devore,Kenneth N. Berk
Publisher : Springer Science & Business Media
Release : 2011-12-06
ISBN : 1461403901
Language : En, Es, Fr & De

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Book Description :

Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used.. In contrast, Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings. This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature.

Mathematical Statistics with Resampling and R

Mathematical Statistics with Resampling and R Book
Author : Laura M. Chihara,Tim C. Hesterberg
Publisher : John Wiley & Sons
Release : 2018-09-19
ISBN : 111941654X
Language : En, Es, Fr & De

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Book Description :

This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications. Throughout the book, new and updated case studies representing a diverse range of subjects such as flight delays, birth weights of babies, and U.S demographics and views on sociological issues illustrate the relevance of mathematical statistics to real-world applications. Changes and additions to the second edition include: New material on topics such as paired data, Fisher's Exact Test and the EM algorithm A new chapter on ANOVA A "Google Interview Question" case study and discussion that illustrate statistical thinking—starting with understanding the problem and framing it properly before proceeding to solutions New exercises and examples, updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.

Mathematical Statistics with Applications

Mathematical Statistics with Applications Book
Author : Dennis Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher : Cengage Learning
Release : 2014-10-27
ISBN : 9780495110811
Language : En, Es, Fr & De

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Book Description :

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.

Probability and Mathematical Statistics Theory Applications and Practice in R

Probability and Mathematical Statistics  Theory  Applications  and Practice in R Book
Author : Mary C. Meyer
Publisher : SIAM
Release : 2019-06-24
ISBN : 1611975786
Language : En, Es, Fr & De

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Book Description :

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.

Mathematical Statistics with Applications

Mathematical Statistics with Applications Book
Author : Kandethody M. Ramachandran,Chris P. Tsokos
Publisher : Academic Press
Release : 2009-03-13
ISBN : 0080951708
Language : En, Es, Fr & De

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Book Description :

Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. 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

An Introduction to Mathematical Statistics and Its Applications

An Introduction to Mathematical Statistics and Its Applications Book
Author : Richard J. Larsen,Morris L. Marx
Publisher : Pearson
Release : 2017-01-05
ISBN : 9780134114217
Language : En, Es, Fr & De

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Book Description :

For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Written by famous statistician John Tukey, Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.

Mathematical Statistics with Applications in Biometry

Mathematical Statistics with Applications in Biometry Book
Author : Joachim Kunert,Götz Trenkler
Publisher : Unknown
Release : 2001
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Mathematical Statistics with Applications in Biometry book written by Joachim Kunert,Götz Trenkler, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Mathematical Statistics with Applications

Mathematical Statistics with Applications Book
Author : Dennis Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher : Cengage Learning
Release : 2014-10-27
ISBN : 1111798788
Language : En, Es, Fr & De

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Book Description :

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 Resampling and R Probability with Applications and R Set

Mathematical Statistics with Resampling and R   Probability with Applications and R Set Book
Author : Laura M. Chihara,Tim C. Hesterberg,Robert P. Dobrow
Publisher : Wiley
Release : 2014-03-31
ISBN : 9781118947432
Language : En, Es, Fr & De

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Book Description :

This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, M"athematical Statistics with Resampling and R" utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as: Exploratory data analysis Calculation of sampling distributions The Central Limit Theorem Monte Carlo sampling Maximum likelihood estimation and properties of estimators Confidence intervals and hypothesis tests Regression Bayesian methods Throughout the book, case studies on diverse subjects such as flight delays, birth weights of babies, and telephone company repair times illustrate the relevance of the real-world applications of the discussed material. Key definitions and theorems of important probability distributions are collected at the end of the book, and a related website is also available, featuring additional material including data sets, R scripts, and helpful teaching hints. "Mathematical Statistics with Resampling and R" is an excellent book for courses on mathematical statistics at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians working in the areas of business, economics, biostatistics, and public health who utilize resampling methods in their everyday work.

Mathematical Statistics and Applications

Mathematical Statistics and Applications Book
Author : Constance van Eeden,Marc Moore
Publisher : IMS
Release : 2003
ISBN : 9780940600577
Language : En, Es, Fr & De

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Book Description :

Download Mathematical Statistics and Applications book written by Constance van Eeden,Marc Moore, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Empirical Processes with Applications to Statistics

Empirical Processes with Applications to Statistics Book
Author : Galen R. Shorack,Jon A. Wellner
Publisher : SIAM
Release : 2009-09-24
ISBN : 0898716845
Language : En, Es, Fr & De

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Book Description :

Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems. At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.

Mathematical Statistics with Applications

Mathematical Statistics with Applications Book
Author : William Mendenhall,Dennis D. Wackerly,Richard L. Scheaffer
Publisher : PWS Publishing Company
Release : 1990
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Mathematical Statistics with Applications book written by William Mendenhall,Dennis D. Wackerly,Richard L. Scheaffer, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Mathematical Statistics With Applications

Mathematical Statistics With Applications Book
Author : Asha Seth Kapadia,Wenyaw Chan,Lemuel A. Moyé
Publisher : CRC Press
Release : 2017-07-12
ISBN : 1420056476
Language : En, Es, Fr & De

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Book Description :

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.

Cluster Analysis for Applications

Cluster Analysis for Applications Book
Author : Michael R. Anderberg
Publisher : Academic Press
Release : 2014-05-10
ISBN : 1483191397
Language : En, Es, Fr & De

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Book Description :

Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis. Comprised of 10 chapters, this book begins with an introduction to the subject of cluster analysis and its uses as well as category sorting problems and the need for cluster analysis algorithms. The next three chapters give a detailed account of variables and association measures, with emphasis on strategies for dealing with problems containing variables of mixed types. Subsequent chapters focus on the central techniques of cluster analysis with particular reference to computational considerations; interpretation of clustering results; and techniques and strategies for making the most effective use of cluster analysis. The final chapter suggests an approach for the evaluation of alternative clustering methods. The presentation is capped with a complete set of implementing computer programs listed in the Appendices to make the use of cluster analysis as painless and free of mechanical error as is possible. This monograph is intended for students and workers who have encountered the notion of cluster analysis.

Mathematical Statistics

Mathematical Statistics Book
Author : Wiebe R. Pestman,Ivo B. Alberink
Publisher : Walter de Gruyter
Release : 1998
ISBN : 9783110153583
Language : En, Es, Fr & De

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Book Description :

This text contains 300 problems in mathematical statistics, together with detailed solutions.

Financial Macro and Micro Econometrics Using R

Financial  Macro and Micro Econometrics Using R Book
Author : Hrishikesh D. Vinod
Publisher : North Holland
Release : 2020-01-24
ISBN : 0128202505
Language : En, Es, Fr & De

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Book Description :

Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, nonstandard problems, cointegration, financial market jumps and co-jumps, among other topics. Presents chapters authored by distinguished, honored researchers who have received awards from the Journal of Econometrics or the Econometric Society Includes descriptions and links to resources and free open source R Gives readers what they need to jumpstart their understanding on the state-of-the-art

Statistics for Engineering and the Sciences

Statistics for Engineering and the Sciences Book
Author : William Mendenhall,Terry Sincich
Publisher : Prentice Hall
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.