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Thursday, May 14, 2020 | History

2 edition of first course in probability and statistics found in the catalog.

first course in probability and statistics

Henrick J. Malik

first course in probability and statistics

by Henrick J. Malik

  • 260 Want to read
  • 17 Currently reading

Published by Addison-Wesley Pub. Co. in Reading, Mass .
Written in English

    Subjects:
  • Probabilities.,
  • Mathematical statistics.

  • Edition Notes

    Statement[by] Henrick J. Malik [and] Kenneth Mullen.
    ContributionsMullen, Kenneth, joint author.
    Classifications
    LC ClassificationsQA273 .M3245
    The Physical Object
    Paginationxii, 361 p.
    Number of Pages361
    ID Numbers
    Open LibraryOL5283462M
    LC Control Number72001941

    He received his Ph.D. in statistics at Stanford University in He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics/10(92).   A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and.

    Genre/Form: Statistics: Additional Physical Format: Online version: Neyman, Jerzy, First course in probability and statistics. New York: Henry Holt, This is volume two of the book entitled “A First Course in Probability Theory”. It is primarily intended for undergraduate students of Statistics and mathematics. It can, however, be used by students of Social Sciences and mathematics-related courses.

    It is designed for an introductory probability course, for use in a standard one-term course, in which both discrete and continuous probability is covered. This book covers a little bit more than I would normally cover in a probability class (Markov chains and random walks) and omits nothing that I /5(6).   Check out "Probability Theory" by Edwin T. Jaynes. It was published maybe 35 years ago (?) by the Oxford University Press, and their stuff is generally pretty good. Jaynes was a lecturer at Stanford University in about and gave magnificent le.


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