Temat: Normal distribution - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Cumulative Sum Control Charts for Truncated Normal Distribution under Measurement Error
Autorzy:: Sankle, R.
Singh, J. R.
Mangal, I. K.
Powiązania:: https://bibliotekanauki.pl/articles/465820.pdf
Data publikacji:: 2012
Wydawca:: Główny Urząd Statystyczny
Tematy:: Truncated Normal Distribution Measurement Error
ARL and CSCC
Opis:: In the present paper Cumulative Sum Control Chart (CSCC) for the truncated normal distribution under measurement error (r) is discussed. The sensitivity of the parameters of the V-Mask and the Average Run Length (ARL) is studied through numerical evaluation for different values of r.
Źródło:: Statistics in Transition new series; 2012, 13, 1; 95-106
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Variational Approximations for Selecting Hierarchical Models of Circular Data in a Small Area Estimation Application
Autorzy:: Hernandez-Stumpfhauser, Daniel
Breidt, F. Jay
Opsomer, Jean D.
Powiązania:: https://bibliotekanauki.pl/articles/465673.pdf
Data publikacji:: 2016
Wydawca:: Główny Urząd Statystyczny
Tematy:: deviance information criterion Laplace approximation
model selection
projected normal distribution
Opis:: We consider hierarchical regression models for circular data using the projected normal distribution, applied in the development of weights for the Access Point Angler Intercept Survey, a recreational angling survey conducted by the US National Marine Fisheries Service. Weighted estimates of recreational fish catch are used in stock assessments and fisheries regulation. The construction of the survey weights requires the distribution of daily departure times of anglers from fishing sites, within spatio-temporal domains subdivided by the mode of fishing. Because many of these domains have small sample sizes, small area estimation methods are developed. Bayesian inference for the circular distributions on the 24-hour clock is conducted, based on a large set of observed daily departure times from another National Marine Fisheries Service study, the Coastal Household Telephone Survey. A novel variational/Laplace approximation to the posterior distribution allows fast comparison of a large number of models in this context, by dramatically speeding up computations relative to the fast Markov Chain Monte Carlo method while giving virtually identical results.
Źródło:: Statistics in Transition new series; 2016, 17, 1; 91-104
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Power generalization of Chebyshev’s inequality – multivariate case
Autorzy:: Budny, Katarzyna
Powiązania:: https://bibliotekanauki.pl/articles/1193069.pdf
Data publikacji:: 2019-08-30
Wydawca:: Główny Urząd Statystyczny
Tematy:: multivariate Chebyshev’s inequality
Mahalanobis distance
multivariate normal distribution
multivariate t distribution
Opis:: In the paper some multivariate power generalizations of Chebyshev’s inequality and their improvements will be presented with extension to a random vector with singular covariance matrix. Moreover, for these generalizations, the cases of the multivariate normal and the multivariate t distributions will be considered. Additionally, some financial application will be presented.
Źródło:: Statistics in Transition new series; 2019, 20, 3; 155-170
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Comparing particulate matter dispersion in Thailand using the Bayesian Confidence Intervals for ratio of coefficients of variation
Autorzy:: Thangjai, Warisa
Niwitpong, Suparat
Powiązania:: https://bibliotekanauki.pl/articles/1059045.pdf
Data publikacji:: 2020-12-04
Wydawca:: Główny Urząd Statystyczny
Tematy:: Bayesian approach
coefficient of variation
confidence interval
log-normal distribution
ratio
Opis:: Recently, harmful levels of air pollution have been detected in many provinces of Thailand. Particulate matter (PM) contains microscopic solids or liquid droplets that are so small that they can be inhaled and cause serious health problems. A high dispersion of PM is measured by a coefficient of variation of log-normal distribution. Since the log-normal distribution is often used to analyse environmental data such as hazardous dust particle levels and daily rainfall data. These data focus the statistical inference on the coefficient of variation. In this paper, we develop confidence interval estimation for the ratio of coefficients of variation of two log-normal distributions constructed using the Bayesian approach. These confidence intervals were then compared with the existing approaches: method of variance estimates recovery (MOVER), modified MOVER, and approximate fiducial approaches using their coverage probabilities and average lengths via Monte Carlo simulation. The simulation results show that the Bayesian confidence interval performed better than the others in terms of coverage probability and average length. The proposed approach and the existing approaches are illustrated using examples from data set PM10 level and PM2.5 level in the northern Thailand.
Źródło:: Statistics in Transition new series; 2020, 21, 5; 41-60
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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