This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to ...

Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical simulation, drawing inferences from data, and basic statistical modeling.

An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No ...

Introduction to probability, random processes and basic statistical methods ... Descriptive and inferential statistics, as well as time-varying random processes and their spectral analysis are ...

This book is a delightful and self-contained introduction to stochastic and Malliavin calculus that will guide the graduate students in probability theory from the basics of the theory to the borders ...

It includes fundamental topics as well as applications: data analysis and representation; probability models ... REQUIRED TEXT: Moore, McCabe & Craig, “Introduction to the Practice of Statistics”, 8th ...

Introduction to probability theory and statistical methods necessary for analyzing the behavior of processes and experiments. Statistical tests for detecting significant changes in process parameters.