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On the prediction of means in a finite population

Statistics & Probability Letters, 1986
Consider a general superpopulation model with \[ Y_ t=g(X_ t;d_ 0)+e_ t \] where \(E(e_ t| X_ t)=0\), \(V(e_ t| X_ t)=\sigma^ 2a_{tt}\) and \(Cov(e_ t,e_ s| X_ t,X_ s)=0\) and g has a known parametric form and is continuous. When a consistent estimator of \(d_ 0\), say \(\hat d_ 0\) is obtained, consider the predictor \[ \bar y_ A=N^{-1}n\bar y_ n+(1-N^
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Estimation of the mean of the selected population

Communications in Statistics - Theory and Methods, 1988
A new class of estimators is introduced for the problem of estimating the mean of the selected population. These estimators are found by subtracting from the largest sample mean an estimator of its bias. The new estimators are compared with those introduced by Cohen and Sackrowitz (1982) and in terms of frequentist risk they are found to perform quite ...
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Estimation of the Mean of the Selected Population

Journal of the American Statistical Association, 1974
Abstract Let X i1, X i2, …,X in, i = 1, 2, be a pair of independent random samples from normal populations with means θi , and common known variance τ2. Suppose we select the population which provides the larger sample mean. In this article our main aim is to investigate different estimators for the mean of the selected population.
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The Meaning of Population Health: Whose Population Is This Anyway?

American Journal of Preventive Medicine, 2021
Robert B, Wallace   +2 more
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Root mean square error or mean absolute error? Use their ratio as well

Information Sciences, 2022
Dulakshi Santhusitha Kumari Karunasingha
exaly  

Unsupervised K-Means Clustering Algorithm

IEEE Access, 2020
Miin-shen Yang   +1 more
exaly  

Marijuana: Its Meaning to a College Population

The Journal of Psychology, 1972
M L, LaDriere, T R, Szczepkowski
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Optimal bounds of exponential type for arithmetic mean by Seiffert-like mean and centroidal mean

Revista De La Real Academia De Ciencias Exactas, Fisicas Y Naturales - Serie A: Matematicas, 2021
Ling Zhu
exaly  

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

Information Sciences, 2023
Laith Abualigah   +2 more
exaly  

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