Introduction To Probability An With Mathematica R Second Edition
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Introduction To Probability, An: With Mathematica® (Second Edition)
This edition covers the standard materials to be expected in a course from a calculus-based course in probability. A new chapter is added to cover exchangeability, embedding, and Monte Carlo simulation.
All the Math You Missed
Author: Thomas A. Garrity
language: en
Publisher: Cambridge University Press
Release Date: 2021-07
Fill in any gaps in your knowledge with this overview of key topics in undergraduate mathematics, now with four new chapters.
Time Series Analysis
Author: Jonathan D. Cryer
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-03-06
This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.