Principles of Statistical Analysis - Learning from Randomized Experiments (Hardcover)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Institute of Mathematical Statistics Textbooks
Release date:	August 2022
Authors:	Ery Arias-Castro
Dimensions:	235 x 157 x 27mm (L x W x T)
Format:	Hardcover
Pages:	400
ISBN-13:	978-1-108-48967-6
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Science & Mathematics > Mathematics > Probability & statistics Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-108-48967-2
Barcode:	9781108489676

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