Introduction to Statistical Thought

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Introduction to Statistical Thought

Introduction to Statistical Thought

Michael Lavine

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Uses R software

Έτος:

2013

Γλώσσα:

english

Σελίδες:

474

Αρχείο:

PDF, 10.53 MB

IPFS:

,

english, 2013

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Ίσως σας ενδιαφέρει

Yosef Cohen, Jeremiah Y. Cohen — Statistics and Data With R: An Applied Approach Through Examples

Evans M., Rosenthal J. — Probability and statistics. The science of uncertainty

Lavine M. — Introduction to statistical thought

Lavine M. — Introduction to statistical thought

Ben Bolker — Ecological Models and Data in R [draft]

Luc Bauwens, Michel Lubrano, Jean Francois Richard — Bayesian Inference in Dynamic Econometric Models

Therese M. Donovan, Ruth M. Mickey — Bayesian Statistics for Beginners: A Step-by-Step Approach

Therese M Donovan; Ruth M Mickey — Bayesian Statistics for Beginners: A Step-By-Step Approach

Richard A Chechile — Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods

H. S. Migon, D. Gamerman — Statistical Inference: An Integrated Approach

Alan Agresti, Maria Kateri — Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)

Larry Wasserman — All of Statistics: A Concise Course in Statistical Inference

Scott M. Lynch — Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Yosef Cohen, Jeremiah Y. Cohen — Statistics and Data With R: An Applied Approach Through Examples

Yosef Cohen, Jeremiah Y. Cohen — Statistics and Data With R: An Applied Approach Through Examples

A.C. Davison — Statistical Models

A.C. Davison — Statistical Models

A.C. Davison — Statistical Models

Edward Greenberg — Introduction to Bayesian Econometrics

N. Thompson Hobbs, Mevin B. Hooten — Bayesian Models. A Statistical Primer for Ecologists

Randall Pruim — Foundations and Applications of Statistics: An Introduction Using R

William M. Bolstad, James M. Curran — Introduction to Bayesian Statistics

Albert, Jim; Hu, Jingchen; — Probability and Bayesian Modeling

SONG S. QIAN, Mark R. (Michigan State University) DuFour, Ibrahim Alameddine — Bayesian Applications in Environmental and Ecological Studies with R and Stan

Jim Albert; Jingchen Hu — Probability and Bayesian Modeling

Ming-Hui Chen, Qi-Man Shao, Joseph G. Ibrahim (auth.) — Monte Carlo Methods in Bayesian Computation

Mary Kathryn Cowles — Applied Bayesian Statistics: With R and OpenBUGS Examples

Best, Nicky; Jackson, Chris; Lunn, David; Spiegelhalter, David; Thomas, Andrew — The BUGS Book : A Practical Introduction to Bayesian Analysis

Ben Lambert — A Student’s Guide to Bayesian Statistics

Downey, Allen B. — Think Bayes: Bayesian Statistics in Python

Lambert, Ben — A Student’s Guide to Bayesian Statistics

Scott M. Lynch — Applied Bayesian Statistics

Dani Gamerman, Hedibert Freitas Lopes — Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference

Michael Lavine — Introduction to statistical thought

Leonhard Held, Daniel Sabanes Bove — Applied Statistical Inference: Likelihood and Bayes

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