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Probability Theory
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Title of the book
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Elementary Statistics: A Step by Step Approach (Written by Allan G. Bluman)
Probability and Statistics for Engineering and the Sciences (Written by Jay L Devore)
Introduction to Probability and Statistics (Written by William Mendenhall, Robert J Beaver, and Barbara M Beaver)
Introduction to Probability and Statistics for Engineers and Scientists (Written by Sheldon M. Ross)
A First Course in Probability (Written by Sheldon Ross)
Fundamentals of Mathematical Statistics (Written by S.C. Gupta, V.K. Kapoor)
An Introduction to Statistical Methods and Data Analysis (Written by R Lyman Ott and Michael Longnecker)
Statistics and Probability Theory (Written by Dr. K.C. Jain and Dr. M.L. Rawat)
Introduction to Probability (Written by Dimitri P. Bertsekas and John N. Tsitsiklis)
Business Statistics for Contemporary Decision Making (Written by Ken Black)
Introductory Statistics (Written by Sheldon M. Ross)
Introductory Statistics (Written by Douglas S Shafer and Zhiyi Zhang)
Managerial Statistics (Written by Gerald Keller)
Introduction to Mathematical Statistics (Written by Robert V. Hogg, Joseph W. Mckean, Allen T. Craig)
Mathematical Statistics and Data Analysis (Written by John A. Rice)
About the Book
About the Contributor
Author:
John A. Rice
Title of the Book:
Mathematical Statistics and Data Analysis
Publisher:
Cengage Learning India
Year:
2007
Edition:
3
ISBN:
978-81-315-1954-7
Contributor Name:
Debatosh Chakraborty, BSMS (Integrated 5 year), Mathematics, National Institute of Technology, Agartala
Reviewer:
R TBC Team
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(Download the R codes for all the solved examples)
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The generated PDF is not the PDF of the book as named but only is the PDF of the solved example for R
Title of the chapter
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1. Probability
2. Random Variables
3. Joint Distributions
4. Expected Values
5. Limit Theorems
7. Survey Sampling
8. Estimation of Parameters and Fitting of Probability Distributions
9. Testing Hypotheses and Assessing Goodness of Fit
10. Summarizing Data
11. Comparing two Samples
12. The Analysis of Variance
13. The Analysis of categorical data
14. Linear Least squares
Example No. (Caption):
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