small-sample estimation

small-sample estimation
оценивание по малой выборке

The English-Russian dictionary on reliability and quality control. 2015.

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  • Small area estimation — is any of several statistical techniques involving the estimation of parameters for small sub populations, generally used when the sub population of interest is included in a larger survey.The term small area in this context generally refers to a …   Wikipedia

  • Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …   Wikipedia

  • Estimation of covariance matrices — In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals with the question of how to approximate the actual covariance matrix on the basis… …   Wikipedia

  • Estimation theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… …   Wikipedia

  • Sample maximum and minimum — Box plots of the Michelson–Morley experiment, showing sample maximums and minimums. In statistics, the maximum and sample minimum, also called the largest observation, and smallest observation, are the values of the greatest and least elements of …   Wikipedia

  • Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… …   Wikipedia

  • Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… …   Wikipedia

  • Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …   Wikipedia

  • Biased sample — A biased sample is a statistical sample of a population in which some members of the population are less likely to be included than others. If the bias makes estimation of population parameters impossible, the sample is a non probability… …   Wikipedia

  • National Sample Survey Organisation — The National Sample Survey Organisation or NSSO, now National Sample Survey Office is an organization in the Ministry of Statistics and Programme Implementation of the Government of India. It is the largest organisation in India conducting… …   Wikipedia

  • Trend estimation — is a statistical technique to aid interpretation of data. When a series of measurements of a process are treated as a time series, trend estimation can be used to make and justify statements about tendencies in the data. By using trend estimation …   Wikipedia


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