Book Series: Probability and Statistics

Probability and Statistics

Probability and Statistics
By Mel Friedman
Mel Friedman. Example: A penny and a nickel are tossed once. What is the probability that the penny lands on tails and the nickel ... (H, H, T) mean that the penny lands on heads, the nickel lands on heads, and the dime lands on tails.
Probability and Statistics
By Morris H. DeGroot, Mark J.. Schervish
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in ...
Probability and Statistics
By Morris H. DeGroot, Mark J. Schervish
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in ...
Probability and Statistics: A Course for Physicists and Engineers
By Arak M. Mathai, Hans J. Haubold
(1) Let X be binomially distributed with parameters (n,p), 0 < p < 1. Then we know that E[x(x-1)] = n(n-1)p° = Eul-El. H. 2. n(n − 1) - Hence u = # here is an unbiased estimator for p”. (2) Let x be a Poisson random variable with ...
Probability and Statistics: The Science of Uncertainty
By Michael J. Evans, Jeffrey S. Rosenthal
Theorem 3.4.9 Let X be any random variable with its first k moments finite. Then cX (0) = 1, o;( (0) = iE(X), egg (0) = i2E(X2) = —E(X2), etc. In general, cgc)(0) = ikE(Xk), where i = s/ —1, and where cg?) is the kth derivative of cX.
Probability and Statistics: The Science of Uncertainty
By Michael J. Evans, Jeffrey S. Rosenthal
X2 OŹx n2 102 ° 1x ( a ) Prove that fx ( x ) = pfix ( 2 ) + ( 1 – p ) fax ( 2 ) . ( b ) Establish that px = puix + ( 1 – p ) Max where fix is the mean of X on IIį . ( c ) Establish that ož = poix + ( 1 - p ) oźx + p ( 1 – p ) ( 41x ...
Probability and Statistics
By Morris H. DeGroot, Mark J. Schervish
This fourth edition has contemporary statistical methods integrated into the text. Other new features include a chapter on simulation, a section on Gibbs sampling, what you should know boxes and remarks to highlight difficult concepts.
Probability and Statistics
By Margaret Thomas, School Specialty Publishing
Easy-to-follow instructions, fun-to-solve puzzles and riddles, and many self-checking activities make these books a hit in any middle school math class.
Probability and Statistics: The Science of Uncertainty
By John Tabak
Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.
Probability and Statistics
By Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham & Dr M.V.S.S.N. Prasad
This book comprises previous question papers problems at appropriate places and also previous GATE questions at the end of each chapter for the benefit of the students
Probability and Statistics: A Course for Physicists and Engineers
By Arak M. Mathai, Hans J. Haubold
This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing.
Probability and Statistics: A Didactic Introduction
By José I. Barragués, Adolfo Morais, Jenaro Guisasola
With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics.
Probability and Statistics
By Morris H. DeGroot, Mark J. Schervish
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and...
Probability and Statistics: Volume II
By Didier Dacunha-Castelle, Marie Duflo
HALL P. and HEYDE C. C. Martingale limit theory and its applications, Academic Press (1981). HAJEK, J. and SIDAK, Z. Theory of rank tests, Academic Press (1967). HANNAN E. J. Multiple time series, Wiley (1970). HARRIS T. E. The theory ...
Probability and Statistics: For Engineering and the Computing Sciences
By J. Susan Milton
This book includes examples and exercises that are specially chosen for those looking for careers in the engineering and computing sciences. It is intended as a first course in probability and applied statistics for students.
Probability and Statistics
By Thriyambakam Krishnan
Probability and Statistics
Probability and Statistics: with Integrated Software Routines
By Ronald Deep
Probability and Statistics is a calculus-based treatment of probability concurrent with and integrated with statistics. * Incorporates more than 1,000 engaging problems with answers* Includes more than 300 solved examples* Uses varied ...
Probability And Statistics
By Dr. Deo Datta Aarya, Dr. Yogendra Kumar Rajoria, Ms. Anuradha Sabharwal
... Probability Theory and Its Applications , ( Vol 1 ) , 3rd Ed , ( 1968 ) , Wiley , ISBN 0-471-25708-7 . [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] Hacking , Ian ( 1965 ) . The Logic of Statistical Inference . Cambridge University Press . ISBN ...