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akaturk Academic measurement

OpenAlex topic

Survey Sampling and Estimation Techniques

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 289 works 5 author topics

Works

289 works

  1. YÖKSİS SJR Q1 JCR Q3 OpenAlex top 10% OpenAlex 93.0%

    Abstract This paper considers some ratio‐type estimators and their properties are studied in stratified random sampling. The results are supported by an application with original data.

  2. YÖKSİS SJR Q2 JCR Q3 OpenAlex 85.8%

    No abstract yet.

  3. YÖKSİS OpenAlex top 10% OpenAlex 98.0%

    Nowadays, internet-based surveys are increasingly used for data collection, because their usage is simple and cheap. Also they give fast access to a large group of respondents. There are many factors affecting internet surveys, such as measurement, survey design and sampling selection bias. The sampling has an importa…

  4. YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 92.1%

    No abstract yet.

  5. YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 92.0%

    No abstract yet.

  6. YÖKSİS SJR Q2 JCR Q2 OpenAlex 81.6%

    No abstract yet.

  7. YÖKSİS SJR Q2 JCR Q3 OpenAlex 73.1%

    No abstract yet.

  8. YÖKSİS SJR Q3 JCR Q4 OpenAlex top 10% OpenAlex 91.7%

    In this article, we suggest a new ratio estimator in stratified random sampling based on the Prasad (1989 Prasad , B. ( 1989 ). Some improved ratio type estimators of population mean and ratio in finite population sample surveys . Commun. Statist. Theor. Meth. 18 ( 1 ): 379 – 392 .[Taylor & Francis Online], [Web of Sc…

  9. YÖKSİS SJR Q3 JCR Q4 OpenAlex 88.3%

    A general family of estimators, which use the information of two auxiliary variables in the stratified random sampling, is proposed to estimate the population mean of the variable under study. Under stratified random sampling without replacement scheme, the expressions of bias and mean square error (MSE) up to the fir…

  10. YÖKSİS SJR Q3 JCR Q4 OpenAlex 88.4%

    A general family of estimators, which use the information of two auxiliary variables in the stratified random sampling, is proposed to estimate the population mean of the variable under study. Under stratified random sampling without replacement scheme, the expressions of bias and mean square error (MSE) up to the fir…

  11. YÖKSİS SJR Q3 JCR Q4 OpenAlex 88.5%

    A general family of estimators, which use the information of two auxiliary variables in the stratified random sampling, is proposed to estimate the population mean of the variable under study. Under stratified random sampling without replacement scheme, the expressions of bias and mean square error (MSE) up to the fir…

  12. YÖKSİS SJR Q2 JCR Q2 OpenAlex 81.5%

    No abstract yet.

Academicians

5 academicians