Some unbiased estimators versus mean per unit and ratio estimators in finite population sample surveys

1986 ◽  
Vol 15 (12) ◽  
pp. 3647-3657 ◽  
Author(s):  
B. Prasad
Keyword(s):  
Finite Population ◽  
Population Sample ◽  
Sample Surveys ◽  
Unbiased Estimators ◽  
Ratio Estimators

Admissibility of Unbiased Estimators in Finite Population Sampling for Samples of Size at Most two

1983 ◽  
Vol 32 (1-2) ◽  
pp. 91-102 ◽  
Author(s):  
S. Sengupta
Keyword(s):  
Sample Size ◽  
Finite Population ◽  
Sufficient Condition ◽  
Population Parameters ◽  
Finite Population Sampling ◽  
Unbiased Estimators ◽  
Population Sampling

A sufficient condition for admissibilitY is given for unbiased estimators of finite population parameters when sample size is at most two. The result is used to check admissibility of several unbiased estimators of population totals.

Minimal Complete Class of Linear Unbiased Estimators of Population Mean for a Special Sampling Design1

1989 ◽  
Vol 38 (1-2) ◽  
pp. 71-82
Author(s):  
J. A. Patel ◽  
H. C. Patel
Keyword(s):  
Finite Population ◽  
Positive Probability ◽  
Complete Class ◽  
Population Mean ◽  
Unbiased Estimators ◽  
Homogeneous Linear ◽  
Special Case

In this paper we give a complete description of the minimal complete subclass of C the class of all homogeneous linear unbiased estimators of a finite population mean for the extremely special case of taking sample of size 2 units from a population of size 4, where only samples containing units ( U1, Ui+ 1) have equal positive probability.

scholarly journals Estimating Sibling Recurrence Risk in Population Sample Surveys

2013 ◽  
Vol 76 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Barry I. Graubard ◽  
Monroe G. Sirken
Keyword(s):  
Population Sample ◽  
Recurrence Risk ◽  
Sample Surveys ◽  
Sibling Recurrence Risk
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