Introduction to Mathematical Statistics and Its Applications by Richard Larsen and Morris Marx (2017, Hardcover)
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The product is a hardcover textbook titled "Introduction to Mathematical Statistics and Its Applications" by Richard Larsen and Morris Marx. Published by Pearson Education in 2017, this 752-page book covers the subject areas of probability and statistics in a general sense. With a compact size of 3.9 inches in length, height, and width, this textbook is designed for students and professionals looking to deepen their understanding of mathematical statistics and its practical applications. The authors provide clear explanations and insights to help readers grasp complex concepts and theories in the field of statistics.
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About this product
Product Identifiers
PublisherPearson Education
ISBN-100134114213
ISBN-139780134114217
eBay Product ID (ePID)227804518
Product Key Features
Number of Pages752 Pages
Publication NameIntroduction to Mathematical Statistics and Its Applications
LanguageEnglish
SubjectProbability & Statistics / General
Publication Year2017
TypeTextbook
Subject AreaMathematics
AuthorRichard Larsen, Morris Marx
FormatHardcover
Dimensions
Item Height1.2 in
Item Weight53.3 Oz
Item Length10.2 in
Item Width8.4 in
Additional Product Features
Edition Number6
Intended AudienceCollege Audience
LCCN2016-035117
Dewey Edition22
TitleLeadingAn
IllustratedYes
Dewey Decimal519.5
Table Of ContentIntroduction Probability Random Variables Special Distributions Estimation Hypothesis Testing Inferences Based on the Normal Distribution Types of Data: A Brief Overview Two-Sample Inferences Goodness-of-Fit Tests Regression The Analysis of Variance Randomized Block Designs Nonparametric Statistics
SynopsisFor courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.