Results 41 to 50 of about 28,068 (205)

Double Exponential Ratio Estimator of a Finite Population Variance under Extreme Values in Simple Random Sampling

open access: yesMathematics
This article presents an improved class of efficient estimators aimed at estimating the finite population variance of the study variable. These estimators are especially useful when we have information about the minimum/maximum values of the auxiliary ...
Umer Daraz, Jinbiao Wu, Olayan Albalawi
doaj   +1 more source

On a Class of Optimization-Based Robust Estimators [PDF]

open access: yesIEEE Transactions on Automatic Control, 2017
To appear in IEEE Transactions on Automatic ...
openaire   +4 more sources

Parameter Estimation for a Class of Lifetime Models [PDF]

open access: yesAbstract and Applied Analysis, 2014
Our purpose in this paper is to present a better method of parametric estimation for a bivariate nonlinear regression model, which takes the performance indicator of rubber aging as the dependent variable and time and temperature as the independent variables. We point out that the commonly used two-step method (TSM), which splits the model and estimate
Ji, Xinyang, Fan, Shunhou, Fan, Wei
openaire   +3 more sources

Coefficients Estimates of the Class of Biunivalent Functions [PDF]

open access: yesJournal of Function Spaces, 2016
Applying the Faber polynomial expansions, we obtain the general coefficient bounds for the class of biunivalent functions with bounded boundary rotations.
Abdullah Aljouiee, Pranay Goswami
openaire   +2 more sources

New comprehensive class of estimators for population proportion using auxiliary attribute: Simulation and an application

open access: yesAlexandria Engineering Journal
In this article, we present a comprehensive class of estimators designed for population proportion estimation by leveraging auxiliary attributes within the framework of simple random sampling. The proposed class encompasses a diverse range of estimators,
H.E. Semary   +5 more
doaj   +1 more source

Estimating Smoothness and Optimal Bandwidth for Probability Density Functions

open access: yesStats, 2022
The properties of non-parametric kernel estimators for probability density function from two special classes are investigated. Each class is parametrized with distribution smoothness parameter. One of the classes was introduced by Rosenblatt, another one
Dimitris N. Politis   +2 more
doaj   +1 more source

Estimating the number of classes

open access: yesThe Annals of Statistics, 2007
Estimating the unknown number of classes in a population has numerous important applications. In a Poisson mixture model, the problem is reduced to estimating the odds that a class is undetected in a sample. The discontinuity of the odds prevents the existence of locally unbiased and informative estimators and restricts confidence intervals to be one ...
Mao, Chang Xuan, Lindsay, Bruce G.
openaire   +4 more sources

Advances in Estimation of Sensitive Issues on Successive Occasions

open access: yesStatistica, 2020
Surveys related to sensitive issues are accompanied with social desirability response bias which flaw the validity of analysis. This problem became serious when sensitive issues are estimated on successive occasions.
Kumari Priyanka, Pidugu Trisandhya
doaj   +1 more source

Population Median Estimation Using Auxiliary Variables: A Simulation Study with Real Data Across Sample Sizes and Parameters

open access: yesMathematics
This paper introduces an enhanced class of ratio estimators, which employ the transformation technique on an auxiliary variable under simple random sampling to estimate the population median.
Umer Daraz   +3 more
doaj   +1 more source

On the Estimation of the Number of Classes in a Population

open access: yesThe Annals of Mathematical Statistics, 1949
This paper deals with the following problem: Suppose a population of known size $N$ is subdivided into an unknown number of mutually exclusive classes. It is assumed that the class in which an element is contained may be determined, but that the classes are not ordered. Let us draw a random sample of $n$ elements without replacement from the population.
openaire   +2 more sources

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