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作品数:394被引量:551H指数:10
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相关机构:清华大学华东理工大学湖南大学中南大学更多>>
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Estimation of Population Variance Using the Coefficient of Kurtosis and Median of an Auxiliary Variable under Simple Random Sampling
《Open Journal of Statistics》2017年第6期944-955,共12页Tonui Kiplangat Milton Romanus Otieno Odhiambo George Otieno Orwa 
In this study we have proposed a modified ratio type estimator for population variance of the study variable y under simple random sampling without replacement making use of coefficient of kurtosis and median of an au...
关键词:Modified Ratio Type Variance Estimator Study VARIABLE AUXILIARY VARIABLE KURTOSIS MEDIAN Bias Mean Squared Error (MSE) PERCENTAGE Relative Efficiency (PRE) Simple Random Sampling 
Approximation of Finite Population Totals Using Lagrange Polynomial
《Open Journal of Statistics》2017年第4期689-701,共13页Lamin Kabareh Thomas Mageto Benjamin Muema 
Approximation of finite population totals in the presence of auxiliary information is considered. A polynomial based on Lagrange polynomial is proposed. Like the local polynomial regression, Horvitz Thompson and ratio...
关键词:LAGRANGE POLYNOMIAL APPROXIMATION Finite Population Total AUXILIARY Information Local POLYNOMIAL Regression Horvitz Thompson and Ratio ESTIMATOR 
New Efficient Estimators of Population Mean Using Non-Traditional Measures of Dispersion被引量:1
《Open Journal of Statistics》2017年第3期394-404,共11页Rajesh Kumar Gupta Subhash Kumar Yadav 
One of the aims in survey sampling is to search for the estimators with highest efficiency. In the present paper, three improved estimators of population mean have been proposed using some non-traditional measures of ...
关键词:Study VARIABLE AUXILIARY VARIABLE BIAS Mean Squared Error Efficiency 
Nonnegative Matrix Factorization with Zellner Penalty
《Open Journal of Statistics》2015年第7期777-786,共10页Matthew A. Corsetti Ernest Fokoué 
Nonnegative matrix factorization (NMF) is a relatively new unsupervised learning algorithm that decomposes a nonnegative data matrix into a parts-based, lower dimensional, linear representation of the data. NMF has ap...
关键词:NONNEGATIVE Matrix FACTORIZATION Zellner g-Prior AUXILIARY Constraints REGULARIZATION PENALTY Classification Image Processing Feature Extraction 
Mixture Ratio Estimators Using Multi-Auxiliary Variables and Attributes for Two-Phase Sampling
《Open Journal of Statistics》2014年第9期776-788,共13页Paul Mwangi Waweru John Kung’u James Kahiri 
In this paper, we have proposed three classes of mixture ratio estimators for estimating population mean by using information on auxiliary variables and attributes simultaneously in two-phase sampling under full, part...
关键词:Ratio ESTIMATOR MULTIPLE AUXILIARY Variables MULTIPLE AUXILIARY Attributes TWO-PHASE Sampling Bi-Serial Correlation Coefficient 
A New Regression Type Estimator with Two Auxiliary Variables for Single-Phase Sampling被引量:1
《Open Journal of Statistics》2014年第9期789-796,共8页Everline Chemutai Tum John Kung’u Leo Odongo 
In this paper, we have proposed an estimator of finite population mean using a new regression type estimator with two auxiliary variables for single-phase sampling and investigated its finite sample properties. An emp...
关键词:Regression ESTIMATOR EXPONENTIAL Ratio-Product ESTIMATOR AUXILIARY VARIABLES Mean Squared ERROR 
Mixture Regression Estimators Using Multi-Auxiliary Variables and Attributes in Two-Phase Sampling
《Open Journal of Statistics》2014年第5期355-366,共12页John John Kung’u Grace Chumba Leo Odongo 
In this paper, we have developed estimators of finite population mean using Mixture Regression estimators using multi-auxiliary variables and attributes in two-phase sampling and investigated its finite sample propert...
关键词:Regression ESTIMATOR MULTIPLE AUXILIARY VARIABLES MULTIPLE AUXILIARY Attributes TWO-PHASE Sampling Bi-Serial Correlation Coefficient 
Mixture Regression-Cum-Ratio Estimator Using Multi-Auxiliary Variables and Attributes in Single-Phase Sampling
《Open Journal of Statistics》2014年第5期367-376,共10页Teresio Mutembei John Kung’u Christopher Ouma 
In this paper, we have proposed a class of mixture regression-cum-ratio estimator for estimating population mean by using information on multiple auxiliary variables and attributes simultaneously in single-phase sampl...
关键词:Regression-Cum-Ratio ESTIMATOR Multiple AUXILIARY VARIABLES and Attributes SINGLE-PHASE Sampling 
Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling被引量:4
《Open Journal of Statistics》2014年第4期239-245,共7页John Kung’u Leo Odongo 
In this paper, we have proposed a class of ratio-cum-product estimator for estimating population mean of study variable for single phase sampling using multi-auxiliary attributes. The expressions for mean square error...
关键词:Ratio-Cum-Product ESTIMATOR MULTIPLE AUXILIARY Attributes Single Phase Sampling Bi-Serial Correlation Coefficient 
Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Two-Phase Sampling
《Open Journal of Statistics》2014年第4期246-257,共12页John Kung’u Leo Odongo 
In this paper, we have proposed three classes of ratio-cum-product estimators for estimating population mean of study variable for two-phase sampling using multi-auxiliary attributes for full information, partial info...
关键词:Ratio-Cum-Product ESTIMATOR MULTIPLE AUXILIARY Attributes Two-Phase Sampling and Bi-Serial Correlation Coefficient 
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