Displaying similar documents to “Particle filter with adaptive sample size”

Inverse sampling and triangular sequential designs to compare a small proportion with a reference value.

Víctor Moreno, Isaac Martín, Ferrán Torres, Manuel Horas, José Ríos, Juan R. González (2002)

Qüestiió

Similarity:

Inverse sampling and formal sequential designs may prove useful in reducing the sample size in studies where a small population proportion p is compared with a hypothesized reference proportion p. These methods are applied to the design of a cytogenetic study about chromosomal abnormalities in men with a daughter affected by Turner's syndrome. First it is shown how the calculated sample size for a classical design depends on the parameterization used. Later this sample size is compared...

Dimensional Analysis in sampling inspection of merchandise

Drobot, Stefan, Warmus, Mieczysław

Similarity:

I. Methodological remarks II. Dimensional analysis III. General principles of the theory IV. Sample size V. Aim of inspection and accordance with experience АНАЛИЗ РАЗМЕРНОСТИ В ВЫБОРОЧНОМ ИСПЫТАНИИ ТОВАРОВ (резюме)

Efficient bootstrap simulation: an overview.

Alex Sánchez (1990)

Qüestiió

Similarity:

Two basic sources of error are associated to the use of bootstrap methods: one is derived from the fact that the true distribution is substituted by a suitable estimate, and the other is simulation errors. Some techniques to reduce or quantify these errors are discussed in this work. Some of them such as importance sampling or antithetic variates are adapted from classical Monte Carlo swindles, whereas others such as the centered and the balanced bootstrap, are more specific. The existence...

On some strategies using auxiliary information for estimating finite population mean.

L. N. Sahoo, J. Sahoo, Mariano Ruiz Espejo (1998)

Qüestiió

Similarity:

This paper presents an empirical investigation of the performance of five strategies for estimating the finite population mean using parameters such as mean or variance or both of an auxiliary variable. The criteria used for the choices of these strategies are bias, efficiency and approach to normality (asymmetry).