Probability theory and mathematical statistics 4th edition of this concise (colleges and universities teaching materials)

Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 329 Publisher: Higher Education Pub. Date :2011-08-01 version 1. Sudden Sheng Zhejiang University and other series of Probability and Mathematical Statistics (Fourth Edition) (hereinafter referred to as the fourth edition) is the ordinary high education Eleventh Five-Year national planning materials. the book is the fourth edition of this concise. The book includes probability theory and mathematical statistics in two parts. Compared with the fourth edition. is not included in the random process and choose to do exercises. and Chapter VII. VIII slightly adjust the content and exercises. Probability and Mathematical Statistics (Fourth Edition) as a higher education in engineering. science (non-math majors) the professional materials; book covers the National Examination graduate who learned mathematics syllabus of all the knowledge points can be used as reference for graduate entrance examination; also available for engineering and technical personnel. scientific and technological workers. Contents: Preface Chapter I the basic concepts of probability theory 1 2 randomized trials of the sample space. random events. frequency and probability of 3 4. which may probability model (classical probability model) 5 6 independence of the conditional probability Exercises Chapter Summary distributed random variables and their 1 2 discrete random variable random variable and its distribution law of random variables 3 4 continuous distribution function of random variable and its probability density function of 5 the distribution of random variables Summary Exercises Chapter multidimensional random variables and their distributions 1 2-dimensional marginal distribution of random variable conditions of 3 4 the distribution of independent random variables 5 a function of two random variables distributed random variables Summary Exercises Chapter IV characteristics of digital mathematical expectation of 1 2 variance and covariance 3 4 moment correlation coefficient. covariance matrix Summary Exercises Chapter law of large numbers and central limit theorem 1 2 Law of Large Numbers Central Limit Theorem Summary Exercises Chapter 1 samples and random sampling distribution 2 the sample histogram and box plot 3 Summary Exercises Chapter VII of the sampling distribution of parameter estimates 1 2 point estimates based on samples truncated maximum likelihood estimator estimates 3 4 of the selection criteria 5 normal interval estimation population mean and variance of the interval estimation of 6 (0-1) interval estimation of distribution parameters sided confidence interval of 7 of Chapter VIII Summary Exercises hypothesis testing hypothesis testing 1 2 of the normal population mean hypothesis testing 3 normal population 4 variance hypothesis test confidence interval and hypothesis testing the relationship between sample size selection 5 6 7-rank test distribution fitting and testing hypothesis testing problems 8 p-value method Exercises Chapter Summary analysis of variance and regression analysis of single-factor test of 1 2 two-factor analysis of variance analysis of variance test 3 4 a linear regression Multiple linear regression Summary Exercises Chapter bootstrap method simulation of 1 2 distributed random variables non-parametric bootstrap method parameters bootstrap method 3 of Chapter XI Summary Exercises in Mathematical Statistics in Excel software applications 1 2 outlines the distribution of random numbers to generate a given hypothesis testing 3 4 5 analysis of variance 6bootstrap a linear regression method. macros. VBA References in this chapter are several commonly used Schedules Schedule 1 Schedule 2 of the probability distribution of the standard normal distribution table table table in Schedule 3 Schedule 4t Poisson distribution table in Schedule 6F Schedule 5y2 distribution table in Schedule 7 of the mean distribution.…