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Language: en
Pages: 212
Pages: 212
This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed o
Language: en
Pages:
Pages:
Language: en
Pages: 442
Pages: 442
This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The b
Language: en
Pages: 284
Pages: 284
Based on the authors’ lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theor
Language: en
Pages: 385
Pages: 385
A Balanced Treatment of Bayesian and Frequentist Inference- Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian an
Language: en
Pages:
Pages:
Language: en
Pages: 164
Pages: 164
This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergrad
Language: en
Pages: 808
Pages: 808
This book is sequel to a book Statistical Inference: Testing of Hypotheses (published by PHI Learning). Intended for the postgraduate students of statistics, it
Language: en
Pages: 168
Pages: 168
Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes,
Language: en
Pages: 240
Pages: 240
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and prin