There are lots of great material on Probabilistic Models subject in the internet, buts its always a challenge to figure out a ready list of top books on Probabilistic Models that one can refer to immediately. Even though online materials are good, but nothing can beat the depth of coverage that a book can offer. Hence, we researched the list of Probabilistic Models books which are used by students worldwide and came up with top 10 Book Recommendations on Probabilistic Models subject. These books can be used as a great starting point for anyone studying Probabilistic Models and can also be used as a ready reference for Under-Graduate and Post-Graduate programs.
Most of these Probabilistic Models books are also in the best-seller lists in Amazon website. We have added a brief description of these best books and have also included direct links to Amazon site (as affiliate). This allows anyone to directly visit the site and order printed copies of these best books.
Here is the full list of best reference books on Probabilistic Models.
|1. “Introduction to Probability Models” by Sheldon M. Ross
Book Review: This book provides introduction to probability theory and stochastic processes. The book also deals with the heuristic and non-rigorous concepts of probability and probability using the tools of measure theory. The book demonstrates the basics of probability like random variable, conditional probability and conditional expectation. The book also discusses stochastic processes, poison processes and markov chains. The book also contains chapters on queuing, reliability theory and simulation. The book is useful for students studying probability in the field of engineering, computer science, management and operations research.
|2. “Introduction to Probability Models: Operations Research” by Wayne L. Winston
Book Review: This book covers various probability models with contributions from financial engineering, computational simulation and manufacturing engineering. The book lays more emphasis to probability models along with the addition of practical breakthroughs thereby becoming the first book to introduce various ideas at an accessible level. The book also contains numerous problems. The book is known for the balance that it offers by illustrating the theoretical concepts along with many examples. The book also contains many exercises that widely cover probability topics.
|3. “Operations Research: An Introduction” by Hamdy. A. Taha
Book Review: This book is very suitable for undergraduate and first year graduate courses in the field of operations research and is mainly useful for streams like industrial engineering, business administration, computer science, and mathematics and statistics field. The book also covers theoretical concepts, applications and computations of operations research. The book also contains numerous examples that explain various mathematical concepts. The book makes use of softwares like Excel, Excel Solver and Tora that are used to solve practical problems.
|4. “Operations Research: Applications and Algorithms” by Wayne L. Winston
Book Review: This book is famous for its practical approach and stresses on the model formulation and model building. Along with the basics of algorithms, the book covers many more topics. The book also covers most of the recent advancements made in the field of Operations Research, its applications and algorithms and this has been one of the biggest factors for the success of the book. The book also provides CD-ROM which contains the recent versions of software that is needed for optimization, simulation and decision analysis.
|5. “Introduction to Probability” by Dimitri P. Bertsekas and John N. Tsitsiklis
Book Review: This book provides introduction to probability theory, stochastic processes and probabilistic models that are used in the field of science, engineering, economics and many other related fields. This is a very good probability textbook for graduate and undergraduate students. The book also contains fundamentals of probability theory and advanced topics like transforms, sums of random variables, least square estimation, bivariate normal distribution, Bernoulli, poisson and markov processes and many more. The book also contains numerous solved theoretical problems.
|6. “Introduction to Operations Research” by F. Hillier and G. Lieberman|
|7. “Project Economics and Decision Analysis” by Mian M. A.|
|8. “Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms” by Dechter|
|9. “Probabilistic Graphical Models” by Van Der Gaag|
|10. “Probabilistic Models for Nonlinear Partial Differential Equations” by Carl Graham|
If any more book needs to be added to the list of best books on Probabilistic Models Subject, please let us know.
Sanfoundry Global Education & Learning Series – Best Reference Books!