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product estimator

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

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

... ratio-cum product estimator in two-phase sampling using multiple auxiliary attributes with existing estimators of finite population that uses one or multiple auxiliary attributes namely mean per unit, ratio ...

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Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling

Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling

... ratio, product and regression estimators which were generalization of Naik and Gupta [14] estimator in single and double phase sampling with full information, partial information and no ...

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Efficient Hierarchic Predictive Multivariate Product Estimator Based On Harmonic Mean

Efficient Hierarchic Predictive Multivariate Product Estimator Based On Harmonic Mean

... In the literature of survey sampling, the use of auxiliary information at estimation stage often results in considerable gain in efficiency of the proposed estimators for population parameters under study. Singh(1967) ...

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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

... ratio-product estimator of population mean using known coefficient of kurtosis of two auxiliary variates has been ...(2010) estimator and its properties are studied. Proposed estimator has ...

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Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling

Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling

... and product type exponential estimators using auxiliary ...ratio estimator in es- timating population mean of the variable of interest using known attributes such as coefficient of variation, coef- ficient ...

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A ratio-cum-product estimator of population mean in stratified random sampling using two auxiliary variables

A ratio-cum-product estimator of population mean in stratified random sampling using two auxiliary variables

... Simple random sampling technique has some shortcomings like less represen- tative of different sections of the population, administrative inconvenience and less efficiency in case of heterogeneous population. Literature ...

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Dual to Ratio-Cum-Product Estimator in Simple and Stratified Random Sampling

Dual to Ratio-Cum-Product Estimator in Simple and Stratified Random Sampling

... ratio-cum-product estimator performs better than ratio and product type estimators in SRS under stratification and other certain ...proposed estimator in section 3 to stratified random ...

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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

... the estimator with the ex- isting estimator that utilizes auxiliary attribute or multiple auxiliary ...tio-cum-product estimator in two-phase sampling for full information case has been found ...

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Efficient Product-type Exponential Estimator for Population Variance

Efficient Product-type Exponential Estimator for Population Variance

... exponential product type estimator for estimating the population variance using auxiliary ...exponential product-type estimator have been ...proposed estimator, has been ...proposed ...

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Some Exponential Produt Type Estimators Using Auxiliary Attributes.

Some Exponential Produt Type Estimators Using Auxiliary Attributes.

... ratio estimator, when the study variable y and auxiliary variable x are positively ...ratio estimator does not perform ...a product estimator to estimate population mean Y which perform better ...

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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 ...ratio estimator, product estimator and power transformation estimator are the special cases of the class of ...

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Improved Variance Estimator using Linear Combination of Tri-mean and Quartile Average

Improved Variance Estimator using Linear Combination of Tri-mean and Quartile Average

... cum product estimator for estimating finite population ...proposed estimator was obtained by transforming [MS17] ...proposed estimator has been obtained and the conditions for it efficiency ...

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Some Exponential Produt Type Estimators Using Auxiliary Attributes

Some Exponential Produt Type Estimators Using Auxiliary Attributes

... ratio estimator, when the study variable y and auxiliary variable x are positively ...ratio estimator does not perform ...a product estimator to estimate population mean Y which perform better ...

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Improved Ratio-Cum-Product Estimators of Population Mean Using Known Population Parameters of Auxiliary Variables

Improved Ratio-Cum-Product Estimators of Population Mean Using Known Population Parameters of Auxiliary Variables

... ratio-cum-product estimator for the estimation of finite population mean with known coefficient of kurtosis and median of auxiliary characters has been ...proposed estimator are obtained and compared ...

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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

... 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 ratio and ...

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Efficient Product-type Exponential Estimator for Population Variance

Efficient Product-type Exponential Estimator for Population Variance

... exponential product type estimator for estimating the population variance using auxiliary ...exponential product-type estimator have been ...proposed estimator, has been ...proposed ...

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On comparison some estimators in small area study

On comparison some estimators in small area study

... Stein estimator over direct estimator, we also include some more competitor ...synthetic estimator using the previous year’s batting average, two composite estimators that we mentioned, the Bayes ...

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Performance of Existing Biased Estimators and the Respective Predictors in a Misspecified Linear Regression Model

Performance of Existing Biased Estimators and the Respective Predictors in a Misspecified Linear Regression Model

... In this study, a common form of superiority conditions were obtained for com- parison among the biased estimators (RE, AURE, LE, AULE, PCRE, r-k class es- timator and r-d class estimator) and their predictors by ...

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A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES

A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES

... This estimator for general germ-grain processes was introduced in Pawlas ...related estimator is used in Laslett (1982a) for line segment ...Kaplan-Meier estimator is destroyed in our ...

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An Improved Estimator of Population Mean using Information on Median of the Study Variable

An Improved Estimator of Population Mean using Information on Median of the Study Variable

... To judge the theoretical findings, we have considered the natural populations given in Subramani (2016). He has used three natural populations. The population 1 and 2 have been taken from Singh and Chaudhary (1986, page ...

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