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An introduction to mathematical statistics and its applications /Richard J Larsen

By: Richard J Larsen ; Morris L MarxContributor(s): Morris L MarxMaterial type: Text

TextPublisher number: Atlantic Publishers & Distributors (P) Ltd. | ;7/22,Ansari Road ,Darya Ganj,New Delhi-110002Publication details: Boston : Pearson ,2018Edition: Sixth editionDescription: x, 742 pages ; 26 cmISBN: 9780134114217Subject(s): MathematicsGenre/Form: ;Mathematical statisticsDDC classification: 519.5 LAR

Contents:

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 -- Factorial data

Summary: 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.

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Holdings
Item type	Current library	Call number	Status	Notes	Date due	Barcode	Item holds
Books	SNU LIBRARY	519.5 LAR (Browse shelf(Opens below))	Not For Loan	Costly		27364

Total holds: 0

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 --
Factorial data

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.

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