Introduction to Mathematical Statistics and Its Applications is an academic textbook on mathematical statistics, written by authors Richard J. Larsen and Morris L. Marx and published by Duxbury Press in 2010, with a 4th edition released in 2017. It discusses basic and intermediate statistical tools that can be used to analyze data from various fields of science, including biology, chemistry, engineering, finance, psychology, and the social sciences. The first two editions of the book were published by Duxbury Press under the name Introduction to Mathematical Statistics in 1998 and 2006 respectively. It was also translated into Spanish and Russian during this time.
Overview About “Introduction to Mathematical Statistics and Its Applications 5th Edition”
Introduction to Mathematical Statistics and Its Applications is designed for use in introductory statistics courses in a wide variety of fields. This book emphasizes fundamental concepts of statistical inference including sampling distributions, confidence intervals for parameters, tests of hypotheses about parameters, simple linear regression analysis, and correlation, Analysis of Variance. And an introduction to General Linear Models including ANOVA on Factorial Arrangements. The new edition features an introduction for students who have not taken calculus; a four-page appendix containing formulas that are needed throughout the text.
Reviews About “Introduction to Mathematical Statistics and Its Applications 5th Edition”
The reviews for Introduction to Mathematical Statistics and Its Applications 5th Edition were mostly positive. But overall mixed with many reviewers posting 3 or 4-star ratings. The majority of users were impressed with how easy it was to read even though some found it a bit too basic for their needs. People were also pleased that each chapter ended with a summary of what they had just covered. Which made learning easy if you didn’t want to sit through every page in order. There were quite a few reviewers that thought some concepts weren’t explained as clearly as they would have liked. However, there was still enough detail in most chapters that these people could understand what they needed to know when using information from earlier chapters in their own work.
About the Authors
Richard J. Larsen is a professor of statistical science at Cornell University. Where he has taught courses in statistics for more than 40 years. He earned his Ph.D. from Stanford University in 1969 and is a co-author of The Art of Writing Science (University of California Press, 1993). Prior to joining Cornell’s faculty in 1972, Professor Larsen worked as a consulting actuary at Aetna Life & Casualty Company in Hartford, Connecticut; Data Concepts Corporation (now TranStats) in Potomac, Maryland; and Educational Testing Service in Princeton, New Jersey. His many professional activities include service on several national committees responsible for establishing testing standards and guidelines for psychometricians. Who design tests used nationwide in college admissions and recruitment applications throughout the industry.
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