Sách Statistical Modeling Theory Variable Types Design Matrices

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Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách Statistical Modeling Theory Variable Types Design Matrices

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Sách Statistical Modeling Theory Variable Types Design Matrices

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Mô tả

Sách Statistical Modeling Theory Variable Types Design Matrices

Sách keo gáy, bìa mềm

This book briefly explains how statistical models

are applied to data sets. The first part of the book lists 16 types of

variables that appear in statistics, and these types can apply to

predictor or response variables. The second part works through example

data sets using the R programming language, covering different

combinations of predictor and response types. In the final part of the

book, various predictor types are used to illustrate how their

information is encoded as a matrix. Seeing this design matrix is helpful

for understanding how computers fit statistical models to data. Part 1 -

Statistical Modeling Theory Part 2 - Model Fitting Examples Part 3 -

Summary of Statistical Modeling Part 4 - Design Matrices

Thể loại:Mathematics - Computational Mathematics

Năm:2024

Nhà xuát bản:Christopher Panaretos

Ngôn ngữ:english

Trang:112

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