
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
Categories:Mathematics - Computational Mathematics
Year:2024
Publisher:Christopher Panaretos
Language:english
Pages:112