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Books like A course in theoretical statistics by N. A. Rahman


First publish date: 1968
Authors: N. A. Rahman
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A course in theoretical statistics by N. A. Rahman

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Books similar to A course in theoretical statistics (6 similar books)

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📘 The Elements of Statistical Learning
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The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

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📘 Statistical inference
 by George Casella


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An Introduction to Statistical Learning by 7184749|Gareth James book cover

📘 An Introduction to Statistical Learning
 by Gareth James

An Introduction to Statistical Learning offers a practitioner‑friendly guide to modern statistical learning methods, including linear regression, classification, resampling, shrinkage, tree‑based models, SVMs, and clustering, with R tutorials and real‑world examples.

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Introduction to probability and statistics for engineers and scientists by 7833993|Sheldon M. Ross book cover

📘 Introduction to probability and statistics for engineers and scientists
 by Sheldon M. Ross


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Probability and statistics by 2539961|Morris H. DeGroot book cover

📘 Probability and statistics
 by Morris H. DeGroot

Revised edition of DeGroot’s classic, blending classical and Bayesian statistics with new chapters on simulation—MCMC and Bootstrap—and enhanced residual analysis for linear models, all illustrated with real‑world data.

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New Mathematical Statistics by 10725527|Bansi Lal book cover

📘 New Mathematical Statistics
 by Bansi Lal

A comprehensive guide to mathematical statistics for students and professionals alike, covering a wide range of topics in thirty-five chapters of varying sizes.

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Some Other Similar Books

Introduction to the Theory of Statistics by Mood, Graybill, and Boes
Mathematical Statistics and Data Analysis by John Ayers
All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman
Applied Regression Analysis and Generalized Linear Models by John Fox
Statistical Methods for Research Workers by Ronald A. Fisher
Modern Mathematical Statistics by Alan Stuart and Kathleen Ord

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