Read-alikes and related books

Books like R for Stata Users

Readers who finished R for Stata Users by Robert A. Muenchen and wanted more will find 24 strong picks here, all connected by Mathematical & Statistical Software, Stochastic Processes, Probability & Statistics, and Mathematics.

Mathematical & Statistical Software Stochastic Processes Probability & Statistics Mathematics Computers

Top related books to R for Stata Users

Each title here shares meaningful common ground with R for Stata Users — in theme, mood, or literary style.

S Programming — William Venables

William Venables

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Bayesian Essentials with R — Jean-Michel Marin

Bayesian Essentials with R

Jean-Michel Marin

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Essentials of Statistics for Scientists and Technologists — C. Mack

Essentials of Statistics for Scientists and Technologists

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

An Introduction to Statistical Learning with Applications in R — Gareth James

An Introduction to Statistical Learning with Applications in R

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

S+Functional Data Analysis User’s Manual for Windows ® — Douglas B. Clarkson

S+Functional Data Analysis User’s Manual for Windows ®

Douglas B. Clarkson

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Mathematical Computation with Maple V: Ideas and Applications Proceedings of the Maple Summer Workshop and Symposium, University of Michigan, Ann Arbor, June 28–30, 1993 — Thomas Lee

Mathematical Computation with Maple V: Ideas and Applications Proceedings of the Maple Summer Workshop and Symposium, University of Michigan, Ann Arbor, June 28–30, 1993

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Understanding Statistics Using R — Randall Schumacker

Understanding Statistics Using R

Randall Schumacker

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Data Science Fundamentals with R, Python, and Open Data — Marco Cremonini

Data Science Fundamentals with R, Python, and Open Data

Marco Cremonini

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Applied Predictive Modeling — Max Kuhn

Applied Predictive Modeling

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

The Model Thinker What You Need to Know to Make Data Work for You — Scott E. Page

The Model Thinker What You Need to Know to Make Data Work for You

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis — Uffe B. Kjærulff

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjærulff

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Introduction to Probability Simulation and Gibbs Sampling with R — Eric A. Suess

Introduction to Probability Simulation and Gibbs Sampling with R

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Space, Structure and Randomness Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology — Michel Bilodeau

Space, Structure and Randomness Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology

Michel Bilodeau

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Analyzing Medical Data Using S-PLUS — Brian Everitt

Analyzing Medical Data Using S-PLUS

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Local Regression and Likelihood — Clive Loader

Local Regression and Likelihood

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Sampling Algorithms — Yves Tillé

Sampling Algorithms

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

An Introduction to Queueing Theory and Matrix-Analytic Methods — L. Breuer

An Introduction to Queueing Theory and Matrix-Analytic Methods

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Optimization by GRASP Greedy Randomized Adaptive Search Procedures — Mauricio G.C. Resende

Optimization by GRASP Greedy Randomized Adaptive Search Procedures

Mauricio G.C. Resende

Themes: Stochastic Processes • Probability & Statistics • Mathematics

High Performance Discovery In Time Series Techniques and Case Studies — Dennis Elliott Shasha

High Performance Discovery In Time Series Techniques and Case Studies

Dennis Elliott Shasha

Themes: Stochastic Processes • Probability & Statistics • Mathematics

Football Analytics with Python & R Learning Data Science Through the Lens of Sports — Eric A. Eager

Football Analytics with Python & R Learning Data Science Through the Lens of Sports

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

Statistics Using Stata An Integrative Approach — Sharon Lawner Weinberg

Statistics Using Stata An Integrative Approach

Sharon Lawner Weinberg

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

Phylogenetic Comparative Methods in R — Liam J. Revell

Phylogenetic Comparative Methods in R

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

Statistics Using IBM SPSS An Integrative Approach — Sharon Lawner Weinberg

Statistics Using IBM SPSS An Integrative Approach

Sharon Lawner Weinberg

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

Excel 2010 for Biological and Life Sciences Statistics A Guide to Solving Practical Problems — Thomas J. Quirk

Excel 2010 for Biological and Life Sciences Statistics A Guide to Solving Practical Problems

Thomas J. Quirk

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

This list brings together 24 books that share meaningful common ground with R for Stata Users by Robert A. Muenchen. Connected by Mathematical & Statistical Software, Stochastic Processes, Probability & Statistics. Authors featured include William Venables, Jean-Michel Marin, C. Mack, Gareth James, and others. Each pick was selected for thematic and literary overlap — not just genre similarity.

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More by Robert A. Muenchen More books tagged Mathematical & Statistical Software Explore Stochastic Processes

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