Discrete Multivariate Distributions(1st Edition)

Authors:

Norman L. Johnson, Samuel Kotz , Narayanaswamy Balakrishnan

Free Discrete Multivariate Distributions1st EditionNorman L. Johnson, Samuel Kotz , Narayanaswamy Balakrishnan0471128449, 978-0471128441
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ISBN: 0471128449, 978-0471128441

Book publisher: Wiley-Interscience

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Customer Reviews

Trusted feedback from verified buyers

HW
Hazel Watts
3.0
Reviewed In United States United States • October 1, 2023
As a stats enthusiast, I had high expectations. The mathematics is sound, and it covers a broad range of topics, but I felt it could use more practical examples to illustrate complex concepts. Nonetheless, the delivery was prompt and the book was well-packaged. Worth having if you're keen on multivariate distributions, but not the ultimate reference.
HD
Hope Doyle
5.0
Reviewed In United States United States • September 8, 2023
I was thoroughly impressed with how the authors managed to combine depth and readability in this textbook. The mathematical rigor is spot-on for research-level endeavors, yet it's also approachable enough for motivated undergraduate students. An excellent resource that I find myself returning to frequently.
SK
Scarlett Knight
5.0
Reviewed In United States United States • July 15, 2023
Got this book during a flash sale and let me tell you, it's worth every penny! As a stats instructor, this has become my go-to resource for discrete multivariate distributions. The examples are clearly laid out, and the theoretical sections are comprehensive without being overwhelming. Arrived quickly and in perfect condition! Highly recommended for anyone delving into advanced statistics.
VT
Victoria Turner
4.0
Reviewed In United States United States • June 10, 2023
I used this book to supplement my teaching material for graduate-level statistics, and it proved very helpful. The book strikes a good balance between theory and practice, making it suitable for both teaching and research purposes. Arrived quickly, and thanks to my subscription, I got an extra discount which is always a bonus. There's some room for improvement in terms of more intuitive examples, but overall it's a solid guide.

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