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Mathematical Statistics with Applications in R by
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eBay-Artikelnr.:235948635289
Artikelmerkmale
- Artikelzustand
- Book Title
- Mathematical Statistics with Applications in R
- ISBN
- 9780124171138
Über dieses Produkt
Product Identifiers
Publisher
Elsevier Science & Technology
ISBN-10
0124171133
ISBN-13
9780124171138
eBay Product ID (ePID)
202513007
Product Key Features
Number of Pages
826 Pages
Publication Name
Mathematical Statistics with Applications in R
Language
English
Publication Year
2014
Subject
Programming Languages / General, Probability & Statistics / General, General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Length
9.2 in
Item Width
7.5 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2014-025743
Reviews
"...mathematically rigorous, but takes an applied-student-friendly point of view on the traditional content.highly recommended for use as the primary textbook for an undergraduate mathematical statistics course in a mathematics or statistics department." -- MAA.org, "...mathematically rigorous, but takes an applied-student-friendly point of view on the traditional content...highly recommended for use as the primary textbook for an undergraduate mathematical statistics course in a mathematics or statistics department." -- MAA.org, "...mathematically rigorous, but takes an applied-student-friendly point of view on the traditional content.highly recommended for use as the primary textbook for an undergraduate mathematical statistics course in a mathematics or statistics department."-- MAA.org, Mathematical Statistics with Applications in R, Second Edition
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
1. Descriptive Statistics2. Basic Concepts from Probability Theory 3. Additional Topics in Probability4. Sampling Distributions5. Estimation6. Properties of Point Estimation, Hypothesis Testing7. Linear Regression Models8. Design of Experiments9. Analysis of variance10. Bayesian Estimation and Inference11. Nonparametric tests12. Empirical Methods13. Time-series Analysis14. Overview of Statistical Applications15. Appendices16. Selected Solutions to Exercises
Synopsis
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., 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 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.
LC Classification Number
QA276.R328 2014
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textbooks_source
99,4% positive Bewertungen•252.830 Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (41.112)
- j***b (107)- Bewertung vom Käufer.Letzter MonatBestätigter KaufA+++++ Seller! Professor's syllabus listed the wrong book for the course, and told us of the mistake the first day of class. Contacted seller textbooks_source ASAP, and they were able to stop and refund the first order. I then purchased this textbook as the correct book for the course. Textbook received as described. This is a great seller. I would (and did) purchase from again. A++++++!!!!!!!
- _***i (66)- Bewertung vom Käufer.Letzter MonatBestätigter KaufI needed this for a class I am enrolled in and the seller delivered with amazing results for a unbeatable price. Normal price point was way over my budget and I am so happy I found this seller. Item arrived on time and packaged with care. Came exactly as described without any damage or defects. Will purchase from seller again for next course!
- l***l (54)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufPurchased and quickly cancelled order. The seller monitors messages and cancelled the order before it shipped with a full refund. Honest seller, good prices, and excellent customer service. I would reconsider purchasing from this seller. A++The Arras Witch Treatises: Johannes Tinctor's Invectives contre la secte de vau (Nr. 235954445229)