Results 11 to 20 of about 28,068 (205)
A class of generalized ridge estimators
Communications in Statistics - Simulation and Computation, 2017 ABSTRACTPresence of collinearity among the explanatory variables results in larger standard errors of parameters estimated.
Bhat, Satish, Vidya, R.
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Conditional Density Estimation with Class Probability Estimators [PDF]
, 2009 Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estimate is available, then prediction intervals can be derived from it.
Eibe Frank, Remco R. Bouckaert
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A class of ratio estimators of a finite population mean using two auxiliary variables. [PDF]
PLoS ONE, 2014 In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE ...
Jingli Lu, Zaizai Yan
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Estimation of population mean in the presence of measurement error and non response under stratified random sampling. [PDF]
PLoS ONE, 2018 In the present paper we propose an improved class of estimators in the presence of measurement error and non-response under stratified random sampling for estimating the finite population mean.
Erum Zahid, Javid Shabbir
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Estimating Fisher information in normal population with prior information
Statistica, 2007 This paper is contemplated to propose a class of shrunken estimators which is further used in constructing a class of preliminary test estimators for amount of information in complete samples from normal population when some ‘apriori’ or guessed value of
Housila P. Singh, Sharad Saxena
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Visualizing Class Probability Estimators [PDF]
, 2003 Inducing classifiers that make accurate predictions on future data is a driving force for research in inductive learning. However, also of importance to the users is how to gain information from the models produced. Unfortunately, some of the most powerful inductive learning algorithms generate “black boxes”—that is, the representation of the model ...
Eibe Frank, Mark Hall 0002
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Journal of Probability and Statistics, 2016 We have proposed a generalized class of exponential type estimators for population mean under the framework of systematic sampling using the knowledge of two auxiliary variables.
Mursala Khan
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A Generalized Class of Estimators for Estimating Population Mean in the Presence of Non-Response
Journal of Statistical Theory and Applications (JSTA), 2018 Koyuncu and Kadilar proposed an estimator based on single auxiliary variable with complete response in stratified random sampling. In this paper, we extended Koyuncu and Kadilar’s estimator to a more generalized class of estimators using two auxiliary ...
Iram Saleem +2 more
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A Couple of Non Reduced Bias Generalized Means in Extreme Value Theory
Revstat Statistical Journal, 2020 Lehmer’s mean-of-order p (Lp) generalizes the arithmetic mean, and Lp extreme value index (EVI)-estimators can be easily built, as a generalization of the classical Hill EVI-estimators. Apart from a reference to the asymptotic behaviour of this class of
Helena Penalva +3 more
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Efficient class of ratio cum median estimators for estimating the population median.
PLoS ONE, 2023 In estimation theory, the use of auxiliary information significantly improves precision while estimating population parameters. In this paper, an efficient class of ratio cum median estimators of the population median is suggested using simple random ...
Mir Subzar +6 more
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