Matloff, Norman S. <br/><br/>
Probability and statistics for data science  :  math + R + data / 
Norman Matloff. 
 - Boca Raton :  CRC Press, Taylor & Francis Group,  c2020. 
 - xxxii, 412 pages ;  illustrations ;  24 cm 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>About the author -- To the instructor -- To the reader -- I: Fundamentals of probability -- Basic probability models -- Monte Carlo simulation -- Discrete random variables: expected value -- Discrete random variable: variance -- Discrete parametric distribution families -- Continuous probability models -- II: Fundamentals of statistics -- Statistics prologue -- Fitting continuous models -- The Family of normal distributions -- Introduction to statistical inference -- III: Multivariate analysis -- Multivariate distributions -- The Multivariate normal family of distributions -- Mixture distributions -- Multivariate description and dimension reduction -- Predictive modeling -- Model parsimony and overfitting -- Introduction to discrete time Markov Chains -- IV: Appendices -- A R quick start -- Matrix algebra -- Bibliography -- Index. 
<br/><br/><label>ISBN: </label>9781138393295 (paperback) 
<br/><br/><label>LCCN: </label>2019008196 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Probabilities--Textbooks<br/>Mathematical statistics--Textbooks<br/>Probabilities--Data processing<br/>Mathematical statistics--Data processing
<br/><br/><label>LC Class. No.: </label>QA273  / M42 2020