10
Your Cart
10
Your Cart

This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design.

Contents
Random phenomena
Probability
Random variables
Expected values
Commonly used discrete distributions
Commonly used density functions
Joint distributions
Some multivariate distributions
Collection of random variables
Sampling distributions
Estimation
Interval estimation
Tests of statistical hypotheses
Model building and regression
Design of experiments and analysis of variance
Questions and answers

X

New item(s) have been added to your cart.

Quantity: 1
Total $19.99

Frequently bought with Introduction to Machine Learning


View more
Concepts of Programming Languages, Global Edition Original price was: $79.99.Current price is: $19.99.
View more
Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools Original price was: $39.99.Current price is: $19.99.
View more
Learn Quantum Computing with Python and Q#: A hands-on approach Original price was: $49.99.Current price is: $14.99.
View more
View more
Introduction to Machine Learning with Python: A Guide for Data Scientists Original price was: $39.99.Current price is: $19.99.
View more
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Original price was: $39.99.Current price is: $14.99.
View more
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) Original price was: $59.99.Current price is: $19.99.
View more
Cart