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Principles of Statistical Analysis - Learning from Randomized Experiments (Paperback) Loot Price: R938
Discovery Miles 9 380
Repayment Terms: R88 pm x 12*
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Principles of Statistical Analysis - Learning from Randomized Experiments (Paperback): Ery Arias-Castro

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

Ery Arias-Castro

Series: Institute of Mathematical Statistics Textbooks

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Loot Price R938 Discovery Miles 9 380 | Repayment Terms: R88 pm x 12*

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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: 228 x 152 x 21mm (L x W x T)
Format: Paperback - Trade
Pages: 400
ISBN-13: 978-1-108-74744-8
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
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LSN: 1-108-74744-2
Barcode: 9781108747448

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