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Addresses the latest advances in discrete distributions theory including the development of new distributions, new families of distributions and a better understanding of their interrelationships. Greater emphasis on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions, is covered. All chapters have been revised to make them userfriendly and more uptodate. Extensive information on new mixtures, including generalized hypergeometric families, and the increased use of the computer have been added. The bibliography is updated and expanded along with relevant chapter and section numbers.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
I expected more from a Wiley publication. The sections felt a bit disorganized and the examples weren't as relevant as I hoped. Not what I needed for my graduate studies, unfortunately. Wouldn’t recommend it to others.
S
Sofia Martinez
Detailed but Dense at Times
This book is packed with information on discrete distributions, which is great for someone with a strong math background. However, some sections can be a bit overwhelming if you're just starting out. Overall, useful, but prepare to take your time with it!
L
Liam Nguyen
A Great Resource for Stats Students
I picked up this book, 'Univariate Discrete Distributions', for my statistics course, and it's been really helpful! The explanations are clear and the examples tie closely with real-world applications. Definitely a solid addition to my study materials.
R
Ravi Patel
Great for Reference and Learning
I bought this book for my research on probability distributions and it didn’t disappoint. The structure of the chapters makes it easy to reference specific topics. Just wish it had a few more practice problems to work through!
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