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Mathematical Statistics With Applications

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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 Applications

Mathematical Statistics with Applications Book
Author : Dennis Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher : Cengage Learning
Release : 2014-10-27
ISBN : 0495110817
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 Applications

Mathematical Statistics with Applications Book
Author : Dennis D. Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher : Duxbury Press
Release : 2002
ISBN :
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.

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 : Brooks/Cole
Release : 1996
ISBN :
Language : En, Es, Fr & De

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Book Description :

This best-selling book presents a solid foundation in statistical concepts and their application to the real world.

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 : 135199204X
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.

Modern Mathematical Statistics with Applications

Modern Mathematical Statistics with Applications Book
Author : Jay L. Devore,Kenneth N. Berk
Publisher : Springer Science & Business Media
Release : 2011-12-07
ISBN : 146140391X
Language : En, Es, Fr & De

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Book Description :

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 Applications

Mathematical Statistics with Applications Book
Author : Dennis Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher : Duxbury Press
Release : 2007-09
ISBN : 9780495385066
Language : En, Es, Fr & De

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Book Description :

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.

Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R Book
Author : Kandethody M. Ramachandran,Chris P. Tsokos
Publisher : Academic Press
Release : 2020-06-17
ISBN : 9780128178157
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

Student Solutions Manual Mathematical Statistics with Applications

Student Solutions Manual  Mathematical Statistics with Applications Book
Author : K.M. Ramachandran,Chris P. Tsokos
Publisher : Academic Press
Release : 2010-05-22
ISBN : 0080964435
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

Mathematical Statistics with Applications

Mathematical Statistics with Applications Book
Author : William Mendenhall,Richard L. Scheaffer,Dennis D. Wackerly
Publisher : Arden Shakespeare
Release : 1981-01-01
ISBN : 9780871504104
Language : En, Es, Fr & De

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Book Description :

This books presents a solid foundation in statistical theory, and at the same time, provides an indication of the relevance and importance of the theory in solving practical probelms in the real world.

Mathematical Statistics and Applications

Mathematical Statistics and Applications Book
Author : Wilfried Grossmann,G. Pflug,I. Vincze,Wolfgang Wertz
Publisher : Springer
Release : 2011-10-02
ISBN : 9789401089012
Language : En, Es, Fr & De

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Book Description :

The Fourth Pannonian Symposium on Mathematical Statistics was held in Bad Tatzmannsdorf, Austria, 4-10 September, 1983. The first two Symposia were held there in 1979 and 1981; whereas the Third Symposium was staged in Visegrad, Hungary in 1982. The proceedings volumes of these conferences, published by Springer, D. Reidel, and D. Reidel & Akademiai Kiad6, respec tively give information about the objectives of the Pannonian Symposia and the topics covered. About 130 participants from 17 countries took part in this Fourth Symposium, and 92 lectures were presented. This volume contains 21 reviewed contributions which cover various aspects of the application of mathematical statistics. A second group of papers dealing with problems of probability theory and decision theory is published in a separate volume entitled "Probability and Statistidal Decision Theory". Roughly speaking, the papers can be grouped into three main categories. The first group is the application of probability theory. A special type of application is shown in the invited paper of P. Erdos, namely probabilistic methods in number theory. Further models of applied probability covered by the papers are game theory, urn models, best choice models and random graphs. The second group could be best characterized by the term mathematical statistics for models of real data. Such models are linear models, regression, discrimination, time series, analysis of censored data, goodness of fit approxima tion of processes. The papers show the increasing importance of VII new theoretical results (i. e.

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.