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Moderne mathematische Statistik mit Anwendungen von Jay L DeVore: Neu-
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eBay-Artikelnr.:364047231146
Artikelmerkmale
- Artikelzustand
- Book Title
- Modern Mathematical Statistics with Applications
- Publication Date
- 2021-04-30
- Edition Number
- 3
- Pages
- 975
- ISBN
- 9783030551551
Über dieses Produkt
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3030551555
ISBN-13
9783030551551
eBay Product ID (ePID)
23050408778
Product Key Features
Number of Pages
Xii, 975 Pages
Publication Name
Modern Mathematical Statistics with Applications
Language
English
Publication Year
2021
Subject
Probability & Statistics / General, General, Statistics
Type
Textbook
Subject Area
Mathematics, Business & Economics
Series
Springer Texts in Statistics Ser.
Format
Hardcover
Dimensions
Item Weight
79.6 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Edition Number
3
Reviews
"The textbook Modern Mathematical Statistics with Applications can be recommended for applied mathematics and statistics majors as well as prospective scientists, business, social and medical science majors interested in the applying modern statistical methods for their disciplines." (Maria Ivanchuk, ISCB News, iscb.info, June, 2022)
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Preface.- 1 Overview and Descriptive Statistics.- 2 Probability.- 3 Discrete Random Variables and Probability Distributions.- 4 Continuous Random Variables and Probability Distributions.- 5 Joint Probability Distributions and Their Applications.- 6 Statistics and Sampling Distributions.- 7 Point Estimation.- 8 Statistical Intervals Based on a Single Sample.- 9 Tests of Hypotheses Based on a Single Sample.- 10 Inferences Based on Two Samples.- 11 The Analysis of Variance.- 12 Regression and Correlation.- 13 Chi-Squared Tests.- 14 Chi-Squared Tests.- 15 Introduction to Bayesian Estimation.- Appendix Tables.- Index.
Synopsis
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 manynew examples and exercises as well as an introduction to the simulation of events and probability distributions. There are more than 1300 exercises in the book, ranging from very straightforward to reasonably challenging. Many sections have been rewritten with the goal of streamlining and providing a more accessible exposition. Output from the most common statistical software packages is included wherever appropriate (a feature absent from virtually all other mathematical statistics textbooks). The authors hope that their enthusiasm for the theory and applicability of statistics to real world problems will encourage students to pursue more training in the discipline., Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. The text illustrates statistical concepts and methods through careful explanations and real-data applications., 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 are more than 1300 exercises in the book, ranging from very straightforward to reasonably challenging. Many sections have been rewritten with the goal of streamlining and providing a more accessible exposition. Output from the most common statistical software packages is included wherever appropriate (a feature absent from virtually all other mathematical statistics textbooks). The authors hope that their enthusiasm for the theory and applicability of statistics to real world problems will encourage students to pursue more training in the discipline.
LC Classification Number
QA276-280
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