Probability And Statistical Inference Solutions Pdf
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Probability and Statistical Inference
Author: Mr. Rohit Manglik
language: en
Publisher: EduGorilla Publication
Release Date: 2024-03-24
Explores probability and statistical inference, including distributions, hypothesis testing, and data-driven decision-making.
STATISTICAL INFERENCE
Author: M. RAJAGOPALAN
language: en
Publisher: PHI Learning Pvt. Ltd.
Release Date: 2012-07-08
Intended as a text for the postgraduate students of statistics, this well-written book gives a complete coverage of Estimation theory and Hypothesis testing, in an easy-to-understand style. It is the outcome of the authors’ teaching experience over the years. The text discusses absolutely continuous distributions and random sample which are the basic concepts on which Statistical Inference is built up, with examples that give a clear idea as to what a random sample is and how to draw one such sample from a distribution in real-life situations. It also discusses maximum-likelihood method of estimation, Neyman’s shortest confidence interval, classical and Bayesian approach. The difference between statistical inference and statistical decision theory is explained with plenty of illustrations that help students obtain the necessary results from the theory of probability and distributions, used in inference.
Probability and Statistical Inference
Normal 0 false false false For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required. Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.