490 pages | 13 Color Illus. | 133 B/W Illus.
With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The book is suitable for use for entry level courses in first year university studies of Science and Engineering, higher level courses, postgraduate university studies and for the research community.
Descriptive Statistics, Nicholas Watier, Claude Lamontagne and Sylvain Chartier
Probability, José I. Barragués, Adolfo Morai,s and Jenaro Guisasola
Random Variables, Verônica Y. Kataoka, Irene M. Cazorla, Hugo Hernandez, and Claudia Borim da Silva
Sampling, Giovanni Boscaino and Ornella Giambalvo
Point Estimation and Statistical Intervals, Martin Griffiths
Tests of Hypotheses, Martin Griffiths
Analysis of Variance, David L. Trumpower and Sait Atas
Factor Analysis, Marta B. Quaglino and José A. Pagura
Discriminant Analysis, T. Ramayah, Joshua Ignatius, Jasmine Yeap Ai Leen, and Lo May Chiun
Multiple Regression Analysis, María V. López, María C. Fabrizio, and María c. Plencovich