Linear Models With Python

Download Linear Models With Python full books in PDF, epub, and Kindle. Read online free Linear Models With Python ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Linear Models with Python

Linear Models with Python
Author :
Publisher : CRC Press
Total Pages : 315
Release :
ISBN-10 : 9781351053396
ISBN-13 : 1351053396
Rating : 4/5 (396 Downloads)

Book Synopsis Linear Models with Python by : Julian J. Faraway

Download or read book Linear Models with Python written by Julian J. Faraway and published by CRC Press. This book was released on 2021-01-08 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Linear Models with R: This book is a must-have tool for anyone interested in understanding and applying linear models. The logical ordering of the chapters is well thought out and portrays Faraway’s wealth of experience in teaching and using linear models. ... It lays down the material in a logical and intricate manner and makes linear modeling appealing to researchers from virtually all fields of study. -Biometrical Journal Throughout, it gives plenty of insight ... with comments that even the seasoned practitioner will appreciate. Interspersed with R code and the output that it produces one can find many little gems of what I think is sound statistical advice, well epitomized with the examples chosen...I read it with delight and think that the same will be true with anyone who is engaged in the use or teaching of linear models. -Journal of the Royal Statistical Society Like its widely praised, best-selling companion version, Linear Models with R, this book replaces R with Python to seamlessly give a coherent exposition of the practice of linear modeling. Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference and prediction to missing data, factorial models and block designs. Numerous examples illustrate how to apply the different methods using Python. Features: Python is a powerful, open source programming language increasingly being used in data science, machine learning and computer science. Python and R are similar, but R was designed for statistics, while Python is multi-talented. This version replaces R with Python to make it accessible to a greater number of users outside of statistics, including those from Machine Learning. A reader coming to this book from an ML background will learn new statistical perspectives on learning from data. Topics include Model Selection, Shrinkage, Experiments with Blocks and Missing Data. Includes an Appendix on Python for beginners. Linear Models with Python explains how to use linear models in physical science, engineering, social science and business applications. It is ideal as a textbook for linear models or linear regression courses.


Linear Models with Python Related Books

Linear Models with Python
Language: en
Pages: 315
Authors: Julian J. Faraway
Categories: Business & Economics
Type: BOOK - Published: 2021-01-08 - Publisher: CRC Press

DOWNLOAD EBOOK

Praise for Linear Models with R: This book is a must-have tool for anyone interested in understanding and applying linear models. The logical ordering of the ch
Linear Models with R
Language: en
Pages: 284
Authors: Julian J. Faraway
Categories: Mathematics
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

DOWNLOAD EBOOK

A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the resp
Regression Analysis with Python
Language: en
Pages: 312
Authors: Luca Massaron
Categories: Computers
Type: BOOK - Published: 2016-02-29 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Learn the art of regression analysis with Python About This Book Become competent at implementing regression analysis in Python Solve some of the complex data s
Bayesian Modeling and Computation in Python
Language: en
Pages: 420
Authors: Osvaldo A. Martin
Categories: Computers
Type: BOOK - Published: 2021-12-28 - Publisher: CRC Press

DOWNLOAD EBOOK

Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3
Dynamic Linear Models with R
Language: en
Pages: 258
Authors: Giovanni Petris
Categories: Mathematics
Type: BOOK - Published: 2009-06-12 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed in