Lagrangian Probability Distributions Lagrangian Probability Distributions

Lagrangian Probability Distributions

    • ‏69٫99 US$
    • ‏69٫99 US$

وصف الناشر

Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits. This book presents a comprehensive, systematic treatment of the class of Lagrangian probability distributions, along with some of its families, their properties, and important applications.


Key features:


* Fills a gap in book literature

* Examines many new Lagrangian probability distributions, their numerous families, general and specific properties, and applications to a variety of different fields

* Presents background mathematical and statistical formulas for easy reference

* Detailed bibliography and index

* Exercises in many chapters


Graduate students and researchers with a good knowledge of standard statistical techniques and an interest in Lagrangian probability distributions will find this work valuable. It may be used as a reference text or in courses and seminars on Distribution Theory and Lagrangian Distributions. Applied scientists and researchers in environmental statistics, reliability, sales management, epidemiology, operations research, optimization in manufacturing and marketing, and infectious disease control will benefit immensely from the various applications in the book.

النوع
علم وطبيعة
تاريخ النشر
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٢٥ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Birkhäuser Boston
البائع
Springer Nature B.V.
الحجم
٩٫٣
‫م.ب.‬
Bivariate Discrete Distributions Bivariate Discrete Distributions
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Advances on Theoretical and Methodological Aspects of Probability and Statistics Advances on Theoretical and Methodological Aspects of Probability and Statistics
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Distributions for Modeling Location, Scale, and Shape Distributions for Modeling Location, Scale, and Shape
٢٠١٩
Stochastic Comparisons with Applications Stochastic Comparisons with Applications
٢٠٢٢
Inference and Asymptotics Inference and Asymptotics
٢٠١٧
The Skew-Normal and Related Families The Skew-Normal and Related Families
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