Introduction to Statistical Modelling and Inference

Main
Mathematics - Mathematical Statistics
Introduction to Statistical Modelling...

Introduction to Statistical Modelling and Inference

Murray Aitkin

0 / 4.0

Sukakah anda buku ini?

Bagaimana kualiti fail ini?

Muat turun buku untuk menilai kualitinya

Bagaimana kualiti fail yang dimuat turun?

Kategori:

Mathematics - Mathematical Statistics

Tahun:

2022

Penerbit:

CRC Press/Chapman & Hall

Bahasa:

english

Halaman:

390

ISBN 10:

1032105712

ISBN 13:

9781032105710

Fail:

PDF, 19.38 MB

IPFS:

,

english, 2022

Baca dalam Talian

Penukaran menjadi sedang dijalankan

Penukaran menjadi gagal

Mungkin anda berminat

Levine D. — Even You Can Learn Statistics and Analytics...4ed

Albert Rutherford — Statistics for the Rest of Us

Anthony Almudevar — Theory of Statistical Inference

Jesús Rogel-Salazar — Statistics and Data Visualisation with Python

Charles Wheelan — Naked Statistics

Michael R. Chernick — Bootstrap methods: a guide for practitioners and researchers

Michael P. Fay, Erica H. Brittain — Statistical Hypothesis Testing in Context: Reproducibility, Inference, and Science

ERY ARIAS - CASTRO — Principles of Statistical Analysis: Learning from Randomized Experiments

Magdalena Niewiadomska-Bugaj, Robert Bartoszyński — Probability and Statistical Inference

Austin Lee Nichols, John Edlund — The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences: Volume 1

John Vince — Mathematics for Computer Graphics (Undergraduate Topics in Computer Science), 6th Edition 2022

Neil J. Salkind — 100 Questions (and Answers) About Statistics

David L. Weakliem PhD — Hypothesis Testing and Model Selection in the Social Sciences

You-Gan Wang, Liya Fu, Sudhir Paul — Analysis of Longitudinal Data with Example

John MacInnes — Statistical Inference and Probability

Göran Kauermann, Helmut Küchenhoff, Christian Heumann — Statistical Foundations, Reasoning and Inference : For Science and Data Science

Shailaja Deshmukh, Madhuri Kulkarni — Asymptotic Statistical Inference: A Basic Course Using R

R. K. Jain — Zero To Mastery In Computer Graphics- No.1 Computer Graphics Book To Become Zero To Hero In Computer Graphics

Howard B. Stauffer — Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

Phil Gregory — Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

William M. Bolstad — Introduction to Bayesian Statistics

George E. P. Box, Tom Leonard, Chien-Fu Wu — Scientific Inference, Data Analysis, and Robustness. Proceedings of a Conference Conducted by the Mathematics Research Center, the University of Wisconsin–Madison, November 4–6, 1981

William A Link, Richard J Barker — Bayesian Inference: with ecological applications

Anthony O' Hagan;Mike West; & Mike West — The Oxford Handbook of Applied Bayesian Analysis

John Geweke (editor), Gary Koop (editor), Herman Van Dijk (editor) — The Oxford Handbook of Bayesian Econometrics

Paul Damien, Petros Dellaportas, Nicholas G. Polson, David A. Stephens (eds.) — Bayesian Theory and Applications

Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin — Bayesian data analysis

James Berger, Xiao-Li Meng, Nancy Reid, Min-ge Xie — Handbook of Bayesian, Fiducial, and Frequentist Inference

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

Martin, Osvaldo A., Kumar, Ravin, Lao, Junpeng — Bayesian Modeling and Computation in Python

William M. Bolstad — Introduction to Bayesian Statistics, Second edition

A.H. Welsh(auth.) — Aspects of Statistical Inference

William M. Bolstad — Introduction to bayesian statistics

Phil Gregory — Bayesian Logical Data Analysis For The Physical Sciences - A Comparative Approach With Mathematica

Phil Gregory — Bayesian Logical Data Analysis for the Physical Sciences with Mathematica Support

Phil Gregory — Bayesian Logical Data Analysis For The Physical Sciences - A Comparative Approach With Mathematica

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

Walter A. Shewhart, Samuel S. Wilks(eds.) — Case Studies in Bayesian Statistical Modelling and Analysis

Ivan Jeliazkov, Xin-She Yang — Bayesian Inference in the Social Sciences

Alston C.L., Mengersen K.L., Pettitt A.N. (Eds.) — Case Studies in Bayesian Statistical Modelling and Analysis

Purushottam W. Laud, Wesley O. Johnson, Gary L Rosner — Bayesian Thinking in Biostatistics

Gelman A., Carlin J.B. — Bayesian data analysis

Istilah utama