Book Review: Random Variables and Probability Distributions
نویسندگان
چکیده
منابع مشابه
Discrete Random Variables and Probability Distributions
Suppose a city’s traffic engineering department monitors a certain intersection during a one-hour period in the middle of the day. Many characteristics might be of interest to the observers, including the number of vehicles that enter the intersection, the largest number of vehicles in the left turn lane during a signal cycle, the speed of the fastest vehicle going through the intersection, the...
متن کاملDiscrete Random Variables and Probability Distributions
Suppose a city’s traffic engineering department monitors a certain intersection during a one-hour period in the middle of the day. Many characteristics might be of interest to the observers, including the number of vehicles that enter the intersection, the largest number of vehicles in the left turn lane during a signal cycle, the speed of the fastest vehicle going through the intersection, the...
متن کاملOrdered Random Variables from Discontinuous Distributions
In the absolutely continuous case, order statistics, record values and several other models of ordered random variables can be viewed as special cases of generalized order statistics, which enables a unified treatment of their theory. This paper deals with discontinuous generalized order statistics, continuing on the recent work of Tran (2006). Specifically, we show that in general neither re...
متن کاملConstructing Random Probability Distributions
Abstrac: This article surveys several classes of iterative methods for constructing random probability distributions (or random convex functions, or random home omorphisms), and includes illustrative applications in statistics, optimal-control theory, and game theory. Computer simulations of these methods are fast and easy to implement.
متن کاملProbability Distributions as Program Variables
In this work we introduce a new method for performing computations on arbitrarily distributed random variables. Concisely, the probability distributions of input random variables are approximated by mixture models. Computations are then applied to each one of their mixture components. Thus, the final results are also random variables that can be either queried for their density and distribution...
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ژورنال
عنوان ژورنال: Bulletin of the American Mathematical Society
سال: 1938
ISSN: 0002-9904
DOI: 10.1090/s0002-9904-1938-06799-7