statisticsStatistical uncertainties in the estimation of extremes are normally not well considered in present practice or even present research. This paper shows the application of extreme distributions to river variables with non negligible levels of uncertainty and presents an approach to deal with them...
Singh, HP, Solanki, RS (2011) Generalized ratio and product methods of estimation in survey sampling. Pak J Stat Oper Res 7: pp. 245-264Singh, H.P., Solanki, R.S., (2011b). Generalized ratio and product methods of estimation in survey sampling. Pakistan Journal of Statistics and ...
The presented methods can be classified into two categories: graphical and analytical methods. Computational experiments on the presented methods are reported. 关键词: weibull distribution, estimation methods DOI: http://dx.doi.org/ 被引量: 104 年份: 2000 ...
communications in statistics -theory and methods kernel estimation of regression function gradient kernel estimation of regression function gradient The aim of regression analysis is to produce a reasonable analysis of an unknown regression functionm. By reducing the observational errors it allows the inter...
We discuss the possibility of applying some standard statistical methods (the least-square method, the maximum likelihood method, and the method of statistical moments for estimation of parameters) to deterministically chaotic low-dimensional dynamic system (the logistic map) containing an observational no...
J. (2000). Comparison of methods of estimation for a Pareto distribution of the first kind. Communications in Statistics-Theory and Methods, 29, 859-878.Hossain, A.M.; Zimmer, W.J. Comparisons of Methods of Estimation for a Pareto Distribution of the First Kind. Commun. Statist. Theor. ...
Two methods of estimation were recommended: an approach based on polynomial smoothing of point estimates suggested by Thorndike (1951) for specific score levels and a modification proposed by Keats (1957) for the error variance derived under the binomial error model of Lord (1955). 展开 ...
”). NSUM is widely used to estimate the size of important sociological and epidemiological risk groups, including men who have sex with men, sex workers, HIV+ individuals, and drug users. Unlike several other methods for population size estimation, NSUM requires only a single random sample ...
Big Data and alternative data sources for Small Area Estimation View all volumes and issues Latest articles A finite mixture approach for the analysis of digital skills in Bulgaria, Finland and Italy: the role of socio-economic factors Dalila Failli Bruno Arpino Maria Francesca Marino Original Pape...
“This book is a complete study of ℓ1-penalization based statistical methods for high-dimensional data … . Definitely, this book is useful. … its strong level in mathematics makes it more suitable to researchers and graduate students who already have a strong background in statistics. … ...