1
Your Cart
1
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

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

Quantity: 1
Total: $14.99

Frequently bought with Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) Original price was: $69.99.Current price is: $19.99.
View more
Probabilistic Machine Learning: An Introduction Original price was: $79.99.Current price is: $19.99.
View more
Deep Learning with Python Original price was: $49.99.Current price is: $14.99.
View more
Mathematics for Machine Learning Original price was: $39.99.Current price is: $19.99.
View more
View more
Machine Learning Meets Quantum Physics Original price was: $79.99.Current price is: $19.99.
View more
Python Workout: 50 ten-minute exercises Original price was: $49.99.Current price is: $19.99.
View more
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 Original price was: $29.99.Current price is: $14.99.
View more
Cart