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Cambridge University Press - Statistical Inference Textbook

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Description

Explore the evolution of data science with Computer Age Statistical Inference by Cambridge University Press. This text traces the revolution in data analysis from the introduction of electronic computation in the 1950s to the modern era of big data and machine learning. Readers follow an exhilarating journey through classical inferential theories, including Bayesian, frequentist, and Fisherian methods. The book examines how statistical methods are applied to the massive data sets used in modern science and commerce today. It provides essential context on how we moved from traditional theories to the contemporary landscape of algorithms and evidence-based data science.

Key Features

Published by Cambridge University Press as part of the Institute of Mathematical Statistics Monographs series.

Covers the history of statistical methodology from the 1950s to the modern era of big data.

Explores fundamental classical inferential theories including Bayesian, frequentist, and Fisherian approaches.

Examines the impact of electronic computation on the development of modern data science and machine learning.

Provides insight into how statistical methods are applied to large data sets in science and commerce.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 July 2016
Listed Since
08 May 2016

Barcode

No barcode data available

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