Statistics for Scientists and Engineers

Covering descriptive statistics with an emphasis on scientific and engineering applications, Statistics for Scientists and Engineers brings to light new programming ideas, algorithms, and equations. Providing insight on coding complex algorithms using the "loop unrolling technique," author R. Chattamvelli includes end-of-chapter exercises and recommended reading lists, data sets and illustrative examples, new algorithms and equations not available anywhere else, and a section on dynamic data dependent systems, such as industrial robots, unmanned aerial vehicles (UAV) and pilot-less machines. Unlike other books in the field, this text deals exclusively with descriptive statistics.

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 anelected 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.