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Method of moments is the procedure for estimating the parameters in a model by equating sample moments to the population values. A famous early instance of the use of the procedure is in Karl Pearson's description of estimating five parameters in the finite mixture distribution with two univariate normal components. Little taken in use in modern statistics since the estimates are known to be less efficient than those given by the alternative procedures such as the maximum likelihood estimation.
historigrams and histogram
A theorem which shows that any counting process may be uniquely decomposed as the sum of a martingale and a predictable, right-continous process called the compensator, assuming ce
Bootstrap : The data-based simulation method/technique for the statistical inference which can be used to study the variability of the estimated characteristics of the probability
Independent component analysis (ICA) is the technique for analyzing the complex measured quantities thought to be mixtures of other more fundamental quantities, into their fundamen
Blinder Oaxaca method: A method or technique used for assessing the effect of the role of income on racial wealth gap. The method or technique is based on the decomposition of the
The procedure in which the prior distribution is required in the application of Bayesian inference, it is determined from empirical evidence, namely same data for which the posteri
i will like to submit my project for you to do on chi-square, ANOVA, and correlation and simple regression. how can we do this?
Your first task is to realize two additional data generation functions. Firstly, extend the system to generate random integral numbers based on normal distribution. You need to stu
Bivariate boxplot : A bivariate analogue of boxplot in which the inner area contains 50%of the data, and a 'fence' helps to identify the potential outliers. Robust methods or techn
The rapid development or growth of the disease in a community or region. Statistical thinking has made very much significant contributions to the understanding of such type of phen
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