Statistics for Scientists and Engineers

This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand.

This is an introductory textbook on probability and statistics. The authors explain theoretical concepts in a step–by–step manner and provide practical examples. This book begins with an introductory chapter that presents the basic concepts. Next, the authors discuss the measures of location, popular measures of spread, and measures of skewness and kurtosis. Probability theory, discrete distributions, and important continuous distributions that are often encountered in practical applications are analyzed. Mathematical Expectation is covered, along with generating functions and Functions of Random Variables. This book discusses joint distributions, Estimation, Regression, and Analysis of variance. Statistical Quality Control and reliability analysis are also presented. 

Provides insight on coding complex algorithms using the "loop unrolling technique" Covers dynamic data dependent systems such as industrial robots, unmanned aerial vehicles (UAV) and pilot–less machines Contains extensive exercises at the end of each chapter and examples from inter–disciplinary fields
Statistics for Scientists and Engineers is a great resource for students in engineering, physical sciences, and management, and also practicing engineers who require skill sets to model practical problems in a statistical setting.

Ramalingam Shanmugam is an Editor for the Journal of Alzheimer s Disease, Journal of Statistics, Optimization, & Information Computing, Journal of Applied Mathematics, International of Medical Science Research & Practice, e–book Series: Current Developments in Stroke, American Journal of Economics and Business Administration, American Journal of Research in Nursing, International Journal of Research in Medical Sciences, International Journal of Applied Management Science, Journal of Bioinformation, Journal of Critical Care, and Journal of Statistical Computation and Simulation. He has served as a professor at Texas State University, Mississippi State University, University of Colorado at Denver, and University of South Alabama, among others. He is an elected fellow of the International Statistical Institute. He is recipient of several research awards from the Texas State University.

Rajan Chattamvelli has worked as an Analyst Specialist at Denver Public Health and was a visiting professor at the Indian Institute of Management. He was Chair of the Department of Computer Applications at Presidency College and Periyar Maniammai University, India.

Ramalingam Shanmugam is an Editor for the Journal of Alzheimer s Disease, Journal of Statistics, Optimization, & Information Computing, Journal of Applied Mathematics, International of Medical Science Research & Practice, e–book Series: Current Developments in Stroke, American Journal of Economics and Business Administration, American Journal of Research in Nursing, International Journal of Research in Medical Sciences, International Journal of Applied Management Science, Journal of Bioinformation, Journal of Critical Care, and Journal of Statistical Computation and Simulation. He has served as a professor at Texas State University, Mississippi State University, University of Colorado at Denver, and University of South Alabama, among others. He is an elected fellow of the International Statistical Institute. He is recipient of several research awards from the Texas State University.

Rajan Chattamvelli has worked as an Analyst Specialist at Denver Public Health and was a visiting professor at the Indian Institute of Management. He was Chair of the Department of Computer Applications at Presidency College and Periyar Maniammai University, India.