参数估计是一种基于从总体中抽取的样本来估算总体分布中包含的未知参数。这

Parameter estimation is based on samples drawn from the population to estimate the overall distribution of the unknown parameters contained. Such estimation method in possession of Mathematical Statistics in a very important position, but also an important branch of mathematical statistics which, or a basic form of statistical inference. Point and interval estimation is the most common estimation methods. This article focuses on moment estimation, maximum likelihood estimation, all three parameters interval estimation method estimation method, and its promotion analysis. Then these different kinds of parameter estimation method to discuss similarities and differences, to explore the differences and relations between them, on their own characteristics and application in real life introduced one by one, and finally draw the relevant conclusions.

Parameter estimation is a type of estimate of unknown parameters contained in the population distribution based on samples taken from the population. This kind of estimation method plays an extremely important role in mathematical statistics, and is also an important branch of mathematical statistics, and is also a basic form of statistical inference. Point estimation and interval estimation are the most common methods of estimation. This paper focuses on the three parameter estimation methods, namely, moment estimation, maximum likely estimation and interval estimation, and popularizes and analyzes them. Then the correlation symallities and differences of these parameter estimation methods are discussed, the differences and links between them are discussed, the characteristics and applications of each other in real life are introduced one by one, and the relevant conclusions are reached.

Parameter estimation is based on the samples extracted from the population to estimate the unknown parameters contained in the population distribution. This kind of estimation method plays an extremely important role in mathematical statistics, is also an important branch of mathematical statistics, and is also a basic form of statistical inference. Point estimation and interval estimation are the most common estimation methods. This paper mainly introduces three methods of parameter estimation, which are moment estimation, maximum likelihood estimation and interval estimation. Then discuss the similarities and differences of these parameter estimation methods, discuss the differences and relations between them, introduce their characteristics and applications in real life one by one, and finally draw relevant conclusions.