1st Edition

Probability and Statistics A Didactic Introduction

    490 Pages 13 Color & 133 B/W Illustrations
    by CRC Press

    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


    José I. Barragués, Adolfo Morais, Jenaro Guisasola