Uniform probability distribution

Probability and Computer science - Lecture 7: Continuous distributions and poisson process. This lecture provides students with content including: continuous random variables; poisson process; queuing theory just a glance; uniform distribution; exponential distribution;... Please refer to the detailed content of the lecture!

27p codabach1016 03-05-2024 2 0   Download

This paper points out several properties of the solutions of the equation determining the IRR, which includes the equivalence of this equation with an algebraic equation whose degree is less than or equal to n, the existence of solutions, the number of real solutions, the relative position of real roots with -1 and 0 and some illustrations for that. Mokhtari et al.

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In paper "Mixture of Erlang and exponential approximation for ultimate ruin probability", we investigate the mixture of Erlang and exponential approximation based on the first three moments and the matrix-exponential representation of mixed Erlang and exponential functions. Besides, a number of numerical examples are given to illustrate the quick convergence of the method in the cases of the first three moments of uniform distribution on . Moreover to illustrate this method, a numerical example is given with different initial reserves of insurance company.

5p nhanchienthien 25-07-2023 4 3   Download

Lecture Business statistics - Chapter 6: Continuous probability distributions. The main topics covered in this chapter include: uniform probability distribution; mean and variance of uniform probability distribution; normal probability distribution; standard normal probability distribution;... Please refer to the lecture for details!

15p chutieubang 06-12-2022 19 2   Download

Probability distribution technique used to predict the weekly maximum rainfall. In India 60% of total net sown area comes under rainfed. More than 65% population depends on agriculture, but, it contributes only 15.7% GDP of India. The rainfall distribution in country is non uniform which varies from place to place as well as time to time, therefore, study of probability distribution technique needed for understand rainfall characteristic and distribution. Appropriate analysis of rainfall data of 32 years from 1980 to 2011 was done for North Bihar.

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Lecture "Probability & statistics - Chapter 6: Continuous probability" has contents: Continuous random variable, density function, parameter, uniform distribution, normal distribution, cutoff point. Invite you to consult the content.

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In this paper, we present a distributed and scalable evolutionary game played by autonomous mobile ad hoc network (MANET) nodes to place themselves uniformly over a dynamically changing environment without a centralized controller. A node spreading evolutionary game, called NSEG, runs at each mobile node, autonomously makes movement decisions based on localized data while the movement probabilities of possible next locations are assigned by a forced-based genetic algorithm (FGA).

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Chapter 7: Continuous probability distributions. When you have completed this chapter you will be able to: List the characteristics of the uniform distribution; compute probabilities by using the uniform distribution; list the characteristics of the normal probability distribution; convert a normal distribution to the standard normal distribution;...

15p whocare_e 04-10-2016 42 1   Download

Chapter 6 - Continuous random variables. After mastering the material in this chapter, you will be able to: Define a continuous probability distribution and explain how it is used, use the uniform distribution to compute probabilities, describe the properties of the normal distribution and use a cumulative normal table, use the normal distribution to compute probabilities,...

15p whocare_b 05-09-2016 51 1   Download

Lecture Quantiative methods for bussiness - Chapter 3B presents probability distributions. This chapter includes the following content: Uniform probability distribution, normal probability distribution, exponential probability distribution.

43p allbymyself_06 27-01-2016 42 4   Download

In the previous section, we learned how to generate random deviates with a uniform probability distribution, so that the probability of generating a number between x and x + dx, denoted p(x)dx, is given by p(x)dx = dx 0

4p babyuni 17-08-2010 63 3   Download