Probability Theory and Mathematical Statistics Study Guide [Paperback]

Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback Pages Number: 331 in Publisher: Zhengzhou University Press; 1st edition (August 3. 2011). Contents: Chapter 1 random event and the probability of first section the basic requirements of the second section of the overview of randomized trials with random events II Third. the conditional probability of the probability and nature of the event and related to the three formulas. the event of independence of five independent trials probability model. the Bernoulli probability model in section III typical example of a classical probability model calculations . geometric probability model to calculate the three. and the calculation of event probabilities. conditional probability and the calculation of the probability of the plot events five Bernoulli (Bernoulli ') Probability Model 6. all Almost formula and the Bayesian formula. fill in the blank and select question the fourth quarter exercises selected solution and prompted the second chapter of random variables and their distribution of the first section the basic requirements of Section 2 an overview of the content. random variables and their distribution function of two discrete rv and its probability distribution law of three continuous rv its probability density function. distribution law and the distribution function of discrete random variables. the density function of continuous random variable with distribution function three common distribution random variable function typical example of the distribution of Section III. the use of distributed computing the probability of four random variables. the distribution of the random variable function 5. fill in the blank and multiple-choice section IV of the exercises selected solution and tips Chapter III of the random vector and its distribution first section the basic requirements of Section 2 an overview of the contents of a random vector distribution function two discrete two-dimensional rv and its probability distribution of three consecutive two-dimensional rv and its probability distribution density of four. the independence of the random variable 5. the analysis of a discrete random vector function of a typical example of the distribution of Section III dimensional random vector distribution of two. two-dimensional continuous random vector distribution of three random vector function of the distribution of four. fill in the blank and multiple-choice section IV of the exercises selected solution and tips Chapter IV characteristics of the number of random variables the first section the basic requirements Section 2 Overview of the contents of a mathematical expectation (mean). variance. covariance and correlation coefficient four moments and the covariance matrix V. Section III of the common distribution of digital characteristics typical example of the mathematical expectation of a discrete random variable and variance of continuous random variables. mathematical expectation and variance. random variable function of mathematical expectation and variance. covariance and correlation coefficient as well as the independence of five. the mathematical expectation of the application. fill in the blank and multiple-choice section IV exercises Selected solutions and prompted the first section of the fifth chapter of the limit theorem for the basic requirements of Section 2 an overview of the contents of the convergence of the sequence of random variables. law of large numbers. a typical example of Section III of the central limit theorem analysis. the Chebyshev inequality and large law of large numbers. central limit theorem. fill in the blank and multiple-choice section IV exercises selected solution and the basic requirements of Section 2 an overview of the contents of the basic concepts of mathematical statistics prompted the first section of the basic concepts of sampling distribution of the sixth chapter of mathemati.…