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Ratio Estimator

Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions

Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions

... the ratio estimator to two extensions of the quantification ...combined estimator extends the ratio estimator in order to incorporate these labels and obtain a larger effective sample ...

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Model-Assisted Nonnegative Variance Estimator of the Ratio Estimator under the Midzuno-Sen Sampling Scheme

Model-Assisted Nonnegative Variance Estimator of the Ratio Estimator under the Midzuno-Sen Sampling Scheme

... The rest of the article is arranged as follows. Section 2 suggests a new model- based variance estimator of the ratio estimator. A Monte Carlo comparison of the suggested estimator with the ...

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Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute

Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute

... ratio estimator of population mean using information on auxiliary attribute and the estimation of population mean in double sampling in ratio ...modified ratio estimator is a family of ...

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NONPARAMETRIC MIXED RATIO ESTIMATOR FOR A FINITE POPULATION TOTAL IN STRATIFIED SAMPLING

NONPARAMETRIC MIXED RATIO ESTIMATOR FOR A FINITE POPULATION TOTAL IN STRATIFIED SAMPLING

... has in general led a relatively smaller error compared to the usual separate ratio estimator. We can therefore conclude that nonparametric regression approach in stratified sampling using the modified ...

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A NEW MODIFIED RATIO ESTIMATOR FOR ESTIMATION OF POPULATION MEAN WHEN MEDIAN OF THE AUXILIARY VARIABLE IS KNOWN

A NEW MODIFIED RATIO ESTIMATOR FOR ESTIMATION OF POPULATION MEAN WHEN MEDIAN OF THE AUXILIARY VARIABLE IS KNOWN

... The biases, the mean squared errors and the constants of the first 5 modified ratio estimators ̅̂ ̅̂ listed in the Table 1.1 are classified into a single class (say, Class 1), which will be very much useful for ...

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Mixture Regression Cum Ratio Estimator Using Multi Auxiliary Variables and Attributes in Single Phase Sampling

Mixture Regression Cum Ratio Estimator Using Multi Auxiliary Variables and Attributes in Single Phase Sampling

... in ratio estimator in estimating population mean of the variable of interest using known attributes such as coefficient of variation, coefficient kurtosis and point bi-serial correlation ...The ...

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Robust Sample Survey Inference via Bootstrapping and Bias Correction: The Case of the Ratio Estimator

Robust Sample Survey Inference via Bootstrapping and Bias Correction: The Case of the Ratio Estimator

... The bootstrap approach to statistical inference is described in Efron (1982). The method has wide applicability and has seen considerable development in recent years. However, use of the bootstrap in sample survey ...

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Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling

... a ratio estimator considering p auxiliary variables under simple random ...Multivariate Ratio Estimator for the population mean in the presence of two auxiliary variables under Stratified ...

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Modification of Ratio Estimator for Population Mean

Modification of Ratio Estimator for Population Mean

... a ratio type population mean ...proposed estimator over the usual ratio estimator and some selected existing estimators using three natural populations in which their properties (Bias and Mean ...

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An improved ratio estimator of population mean at current occasion

An improved ratio estimator of population mean at current occasion

... the ratio estimator not only on the grounds of efficiency but also Another advantage of using ratio estimator over regression estimator is that the optimum matched portion, the portion ...

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An exponential and log ratio estimator of population mean using auxiliary information in double sampling

An exponential and log ratio estimator of population mean using auxiliary information in double sampling

... proposed estimator has been given in ...proposed estimator with the estimators given by Singh and Vishwakarma (2007), Singh et ...proposed estimator with ...

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A Signal-to-Noise Ratio Estimator for Generalized Linear Model Systems

A Signal-to-Noise Ratio Estimator for Generalized Linear Model Systems

... SNR estimator (17) does not increase with the addition of unimportant ...SNR estimator can give negative values when the true SNR is at or close to zero, suggesting a very low SNR ...

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A New Product Type Estimator of Population Mean and Its Efficiency

A New Product Type Estimator of Population Mean and Its Efficiency

... proposed ratio estimator, Murthy(1964) envisaged product estimator and Searl(1964), Sisodia and Dwibedi(1981) utilised co- efficient of variation of auxiliary variable in their respective ...

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ALMOST UNBIASED ESTIMATOR FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)

ALMOST UNBIASED ESTIMATOR FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)

... in ratio method of ...modified ratio estimator by using the known value of correlation ...modified ratio estimators by using different pairs of known value of population ...

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Improvement Over General And Wider Class Of Estimators Using Ranked Set Sampling

Improvement Over General And Wider Class Of Estimators Using Ranked Set Sampling

... resultant estimator cannot be reduced further than that given in ...usual ratio estimator, product estimator and power transformation estimator are the special cases of the class of ...

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An Alternative Ratio-Cum-Product Estimator of Finite Population Mean Using Coefficient of Kurtosis of Two Auxiliary Variates in Two-Phase Sampling

An Alternative Ratio-Cum-Product Estimator of Finite Population Mean Using Coefficient of Kurtosis of Two Auxiliary Variates in Two-Phase Sampling

... unbiased estimator y , ratio estimator in two- phase sampling y R (d ) , two-phase sampling product estimator y P (d ) , two-phase sampling versions of Singh et ...(2004) ratio and ...

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Estimating HIES Data through Ratio and Regression Methods for Different Sampling Designs

Estimating HIES Data through Ratio and Regression Methods for Different Sampling Designs

... regression estimator greater than that of ratio estimator for a sample size (467 to ...of ratio estimator gets greater than that of regression ...

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Improved Ratio-type Estimators of Population Mean In Ranked Set Sampling Using Two Concomitant Variables

Improved Ratio-type Estimators of Population Mean In Ranked Set Sampling Using Two Concomitant Variables

... that it has less variance as compared to usual ratio estimator in SRS. Khan and Shabbir (2015) suggested a class of Hartley-Ross type unbiased estimator in RSS. Khan and Shabbir (2016) have also ...

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Ratio-cum-product estimator using multiple auxiliary attributes in two-phase sampling

Ratio-cum-product estimator using multiple auxiliary attributes in two-phase sampling

... of ratio estimator based on each auxiliary ...product estimator where the study variable was negatively correlated with the multi-auxiliary ...a ratio-cum-product estimator and its ...

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Mixture Ratio Estimators Using  Multi Auxiliary Variables and Attributes for Two Phase Sampling

Mixture Ratio Estimators Using Multi Auxiliary Variables and Attributes for Two Phase Sampling

... in ratio estimator in estimating population mean of the variable of interest using known attributes such as coefficient of variation, coefficient kurtosis and point bi-serial correlation ...The ...

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