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Principles of Statistical Analysis : Learning from Randomized Experiments

By: (Author) Ery Arias-Castro

Manufacture on Demand

Ksh 14,950.00

Format: Hardback or Cased Book

ISBN-10: 1108489672

ISBN-13: 9781108489676

Series: Institute of Mathematical Statistics Textbooks

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 25th, 2022

Print length: 400 Pages

Weight: 730 grams

Dimensions (height x width x thickness): 23.50 x 15.70 x 2.70 cms

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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems – many computational – build understanding and skills.
This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance – simulation and sampling, as well as experimental design and data collection – that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference.

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