Mathematical Statistics with Applications

Mathematical Statistics with Applications
Available:
Author: Dennis Wackerly,William Mendenhall,Richard L. Scheaffer
Pages: 944
ISBN: 0495110817
Release: 2014-10-27
Editor: Cengage Learning

DESCRIPTION OF THE BOOK:

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
Available:
Author: Dennis D. Wackerly,William Mendenhall,Richard L. Scheaffer
Pages: 912
ISBN: 0495385085
Release: 2008
Editor: Cengage Learning

DESCRIPTION OF THE BOOK:

The authors present the theory of statistics in the context of practical problem solving and real world applications. This practical approach helps you discover the nature of statistics and comprehend its essential role in scientific research.--

Modern Mathematical Statistics with Applications

Modern Mathematical Statistics with Applications
Available:
Author: Jay L. Devore,Kenneth N. Berk
Pages: 845
ISBN: 9781461403913
Release: 2011-12-07
Editor: Springer Science & Business Media

DESCRIPTION OF THE BOOK:

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 in R

Mathematical Statistics with Applications in R
Available:
Author: Kandethody M. Ramachandran,Chris P. Tsokos
Pages: 704
ISBN: 9780128178164
Release: 2020-05-14
Editor: Academic Press

DESCRIPTION OF THE BOOK:

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

Mathematical Statistics with Applications
Available:
Author: Dennis D. Wackerly,William Mendenhall,Richard L. Scheaffer
Pages: 853
ISBN: STANFORD:36105026161070
Release: 2002
Editor: Duxbury Press

DESCRIPTION OF THE BOOK:

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
Available:
Author: Jay L. Devore,Kenneth N. Berk
Pages: 845
ISBN: 9781461403906
Release: 2011-12-06
Editor: Springer Science & Business Media

DESCRIPTION OF THE BOOK:

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 Applications

Mathematical Statistics with Applications
Available:
Author: Kandethody M. Ramachandran,Chris P. Tsokos
Pages: 848
ISBN: 9780080951706
Release: 2009-03-13
Editor: Academic Press

DESCRIPTION OF THE BOOK:

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

Probability Theory and Mathematical Statistics with Applications

Probability Theory and Mathematical Statistics with Applications
Available:
Author: Wilfried Grossmann,J. Mogyoródi,I. Vincze,Wolfgang Wertz
Pages: 458
ISBN: 9027725470
Release: 1988-02-29
Editor: Springer Science & Business Media

DESCRIPTION OF THE BOOK:

Proceedings of the 5th Pannonian Symposium, Visegrad, Hungary, May 20-24, 1985

Probability and Mathematical Statistics Theory Applications and Practice in R

Probability and Mathematical Statistics  Theory  Applications  and Practice in R
Available:
Author: Mary C. Meyer
Pages: 707
ISBN: 9781611975789
Release: 2019-06-24
Editor: SIAM

DESCRIPTION OF THE BOOK:

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 and Applications

Mathematical Statistics and Applications
Available:
Author: Wilfried Grossmann,G. Pflug,I. Vincze,Wolfgang Wertz
Pages: 328
ISBN: 9401089019
Release: 2011-10-02
Editor: Springer

DESCRIPTION OF THE BOOK:

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.

Stat Labs

Stat Labs
Available:
Author: Deborah Nolan,Terry P. Speed
Pages: 283
ISBN: 9780387227436
Release: 2006-05-02
Editor: Springer Science & Business Media

DESCRIPTION OF THE BOOK:

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.

Introduction to Mathematical Statistics and Its Applications Pearson New International Edition

Introduction to Mathematical Statistics and Its Applications  Pearson New International Edition
Available:
Author: Richard J. Larsen,Morris L. Marx
Pages: 744
ISBN: 9781292036724
Release: 2013-08-28
Editor: Pearson Higher Ed

DESCRIPTION OF THE BOOK:

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 theFifth 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.

Mathematical Statistics with Applications

Mathematical Statistics with Applications
Available:
Author: Dennis Wackerly,William Mendenhall,Richard L. Scheaffer
Pages: 192
ISBN: 0495385069
Release: 2007-09
Editor: Duxbury Press

DESCRIPTION OF THE BOOK:

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.

John E Freund s Mathematical Statistics with Applications

John E  Freund s Mathematical Statistics with Applications
Available:
Author: Irwin Miller,Marylees Miller
Pages: 544
ISBN: 9780134291673
Release: 2015-12-03
Editor: Pearson

DESCRIPTION OF THE BOOK:

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. John E. Freund's Mathematical Statistics with Applications , Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices.

Student Solutions Manual Mathematical Statistics with Applications

Student Solutions Manual  Mathematical Statistics with Applications
Available:
Author: Anonim
Pages: 329
ISBN: 9780123854957
Release: 2021
Editor: Academic Press

DESCRIPTION OF THE BOOK:

John E Freund s Mathematical Statistics with Applications

John E  Freund s Mathematical Statistics with Applications
Available:
Author: Irwin Miller,Marylees Miller
Pages: 529
ISBN: 0134995376
Release: 2018-03-15
Editor: Unknown

DESCRIPTION OF THE BOOK:

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

Mathematical Statistics for Applied Econometrics

Mathematical Statistics for Applied Econometrics
Available:
Author: Charles B Moss
Pages: 363
ISBN: 9781466594098
Release: 2014-10-16
Editor: CRC Press

DESCRIPTION OF THE BOOK:

An Introductory Econometrics Text Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques. Uses Computer Systems to Simplify Computation The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques. Students Understand the Reasons for the Results Avoiding a cookbook approach to econometrics, this textbook develops students’ theoretical understanding of statistical tools and econometric applications. It provides them with the foundation for further econometric studies.

John E Freund s Mathematical Statistics with Applications

John E  Freund s Mathematical Statistics with Applications
Available:
Author: Irwin Miller,Marylees Miller
Pages: 480
ISBN: 129202500X
Release: 2013-08-01
Editor: Unknown

DESCRIPTION OF THE BOOK:

John E. Freund's Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices. This text is appropriate for a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics. It can also be used for a single-semester course emphasizing probability, probability distributions and densities, sampling, and classical statistical inference.

The Application of Mathematical Statistics to Chemical Analysis

The Application of Mathematical Statistics to Chemical Analysis
Available:
Author: V. V. Nalimov
Pages: 304
ISBN: 9781483184791
Release: 2014-05-09
Editor: Elsevier

DESCRIPTION OF THE BOOK:

The Application of Mathematical Statistics to Chemical Analysis presents the methods of mathematical statistics as applied to problems connected with chemical analysis. This book is divided into nine chapters that particularly consider the principal theorems of mathematical statistics that are explained with examples taken from researchers associated with chemical analysis in laboratory work. This text deals first with the problems of mathematical statistics as a means to summarize information in chemical analysis. The next chapters examine the classification of errors, random variables and their characteristics, and the normal distribution in mathematical statistics. These topics are followed by surveys of the application of Poisson's and binomial distribution in radiochemical analysis; the estimation of chemical analytic results; and the principles and application of determination of experimental variance. The last chapters explore the determination of statistical parameters of linear relations and some working methods associated with the statistical design of an experiment. This book will be of great value to analytical chemists and mathematical statisticians.

Advanced Statistics with Applications in R

Advanced Statistics with Applications in R
Available:
Author: Eugene Demidenko
Pages: 880
ISBN: 9781118387986
Release: 2019-11-12
Editor: John Wiley & Sons

DESCRIPTION OF THE BOOK:

Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said π? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened. This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.