Search Images Maps Play YouTube News Gmail Drive More »
Sign in
Books Books 21 - 30 of about 48 related to Applied Probability.   

Probability: Theory and Examples

Rick Durrett - Mathematics - 2010
This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains ...
Limited preview - About this book

Applied Probability and Stochastic Processes, Second Edition

Frank Beichelt - Business & Economics - 2016 - 562 pages
Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and stochastic processes with a special ...
Limited preview - About this book

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Jean-Michel Marin, Christian Robert - Computers - 2007 - 255 pages
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on ...
Limited preview - About this book

Introducing Monte Carlo Methods with R

Christian Robert, George Casella - Computers - 2009 - 284 pages
This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique and providing the ...
Limited preview - About this book

An Introduction to Modern Mathematical Computing: With MapleTM

Jonathan Borwein, Matthew P. Skerritt - Mathematics - 2011 - 216 pages
Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of ...
Limited preview - About this book

An Introduction to Modern Mathematical Computing: With Mathematica®

Jonathan Borwein, Matthew P. Skerritt - Mathematics - 2012 - 224 pages
Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of ...
Limited preview - About this book

Bayesian Computation with R

Jim Albert - Mathematics - 2009 - 300 pages
There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number ...
Limited preview - About this book

Solving Differential Equations in R

Karline Soetaert, Jeff Cash, Francesca Mazzia - Computers - 2012 - 248 pages
Mathematics plays an important role in many scientific and engineering disciplines. This book deals with the numerical solution of differential equations, a very important ...
Limited preview - About this book

Pyomo – Optimization Modeling in Python

William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff - Mathematics - 2012 - 238 pages
This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at ...
Limited preview - About this book




  1. My library
  2. Help
  3. Advanced Book Search