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1

A General Family of Dual to Ratio-Cum-Product Estimator in Sample Surveys

100%

Singh R., Kumar M., Chauhan P., Sawan N., Smarandache F.

Statistics in Transition new series

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2011

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vol. 12

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issue 3

587-594

EN

This paper presents a family of dual to ratio-cum-product estimators for the finite population mean. Under simple random sampling without replacement (SRSWOR) scheme, expressions of the bias and mean-squared error (MSE) up to the first order of approximation are derived. We show that the proposed family is more efficient than usual unbiased estimator, ratio estimator, product estimator, Singh estimator (1967), Srivenkataramana (1980) and Bandyopadhyaya estimator (1980) and Singh et al. (2005) estimator. An empirical study is carried out to illustrate the performance of the constructed estimator over others.

2

A Ratio-Cum-Product Estimator of Finite Population Mean in Systematic Sampling

100%

Tailor R., Jatwa N. K., Singh H. P.

Statistics in Transition new series

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2014

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vol. 15

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issue 3

391-398

EN

In this paper we consider the problem of estimation of population mean using information on two auxiliary variables in systematic sampling. We have extended Singh (1967) estimator for estimation of population mean in systematic sampling. We have derived the expressions for the bias and mean squared error of the suggested estimator up to the first degree of approximation. We have compared the suggested estimator with existing estimators and obtained the conditions under which the suggested estimator is more efficient. An empirical study has been carried out to demonstrate the performance of the suggested estimator.

3

On Classes of Modified Ratio Type And Regression-Cum-Ratio Type Estimators in Sample Surveys Using Two Auxiliary Variables

100%

Swain A. K. P. C.

Statistics in Transition new series

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2012

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vol. 13

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issue 3

473-494

EN

In this paper generalized classes of modified ratio type and regression-cum-ratio type estimators of the finite population mean of the study variable are suggested in the presence of two auxiliary variables in simple random sampling without replacement when the population means of the auxiliary variables are known in advance. Some special cases of the generalized estimators are compared with respect to their biases and efficiencies both theoretically and with the help of some natural populations.

4

The Class of Estimators of Finite Population Mean Using Incomplete Multi-Auxiliary Information

100%

Srivastava M., Garg N.

Statistics in Transition new series

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2013

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vol. 14

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issue 2

201-216

EN

In this paper, a class of estimators is considered for estimating the mean of the finite population utilizing available incomplete multi-auxiliary information. Some special cases of this class of estimators are considered. The approximate expressions for bias and mean square error of the suggested estimators have also been derived and theoretical results are numerically supported.

5

Od pierwotnej oralności do wtórnej piśmienności w epoce dominacji internetowego biasu

100%

Szpunar M.

Zeszyty Prasoznawcze

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2014

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vol. 57

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issue 4

694-706

EN

From primary orality to secondary literacy in the era of the dominance of Internet biasScientists tend to overestimate writing as the primary form of language, while the oral communication is the primary form of the whole communication. The purpose of this article is to draw attention to the crucial role of technologies such as writing in the thought processes and evolution of culture.

6

Improved separate ratio and product exponential type estimators in the case of post-stratification

100%

Lone H. A., Tailor R.

Statistics in Transition new series

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2015

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vol. 16

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issue 1

53–64

EN

This paper addressed the problem of estimation of finite population mean in the case of post-stratification. Improved separate ratio and product exponential type estimators in the case of post-stratification are suggested. The biases and mean squared errors of the suggested estimators are obtained up to the first degree of approximation. Theoretical and empirical studies have been done to demonstrate better efficiencies of the suggested estimators than other considered estimators.

7

Noise and bias - some controversies raised by the book 'Noise: A Flaw in Human Judgment', written by Daniel Kahneman, Olivier Sibony, Cass R. Sunstein

100%

Szreder M.

Przegląd Statystyczny

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2022

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vol. 69

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issue 1

39-49

EN

The paper reviews and discusses the statistical aspects of the phenomenon called 'noise' which Daniel Kahneman, the Nobel Prize winning psychologist, and his colleagues present in their new book entitled 'Noise: A Flaw in Human Judgment'. Noise is understood by the authors as an unexpected and undesirable variation present in people's judgments. The variability of judgments influences decisions which are made on the basis of those judgments and, consequently, may have a negative impact on the operations of various institutions. This is the main concern presented and analyzed in this book. The objective of this paper is to look at the relationship between bias and noise - the two major components of the mean squared error (MSE) - from a different perspective which is absent in the book. Although the author agrees that each of the two components contributes equally to MSE, he claims that in some circumstances a reduction of noise can make accurate inference not less, but more difficult. It is justified that the actual impact of noise cannot be accurately determined without considering both bias and noise simultaneously.

8

Improved estimation of the mean through regressed exponential estimators based on sub-sampling non-respondents

100%

Sinha R. R., Bharti

Statistics in Transition new series

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2024

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vol. 25

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issue 3

103-122

EN

The present study concerns the issue of estimating the population mean and presents novel and improved regressed exponential estimators using different parameters of an auxiliary character based on sub-sampling non-respondents. The bias and mean square error (MSE) of the proposed estimators for the most pragmatic simple random sampling without replacement (SRSWOR) scheme have been derived up to the first order of approximation (i.e. the expression containing errors up to the power of two so that the expectation comes only in terms of the mean, variance and covariance). The optimum value of the MSE of the estimators is found, along with the necessary conditions for optimising the MSE. The effectiveness of the suggested estimators, outperforming the existing ones in terms of their MSE, has been studied theoretically, while the empirical as well as the simulation studies have confirmed these findings.

9

Tendencia súhlasiť bez ohľadu na obsah položiek ako možný zdroj skreslenia v sociálnovednom výskume

100%

Havan P., Halama P., Kohút M.

Sociologický časopis. Czech Sociological Review

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2025

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vol. 61

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issue 3

301-321

EN

Acquiescence is defined as the tendency of respondents to shift their answer towards agreeing rather than disagreeing with items, regardless of the items’ content. As a response style, it can be a significant factor in distorting research results. This article examines the nature, predictors, and consequences of this response style and the possibility of identifying and controlling it. The results of time stability and domain/method specificity of acquiescence suggest that it is more a participant-related than situational-related construct. Two categories of correlates or predictors of acquiescence were identified: a high level of social deference/conformity and a low level of cognitive processing on the part of respondents. The two most common approaches used to estimate acquiescence are the manifest approach, which involves computing the deviation from the median of the response scale, and the latent approach, which uses confirmatory factor analysis with a bifactor model. The advantage of the manifest approach is its technical simplicity when certain criteria are met, but its ability to cleanse the results of the effect of acquiescence is rather limited. The more technically demanding latent approach, by contrast, is useful for its ability not only to identify acquiescence bias but also to reduce bias. In a model analysis using the latent approach, the results were cleansed of the effect of acquiescence.

10

Gender differential item functioning in Slovak version of neo five factor inventory

88%

Kohút M., Halama P.

Československá psychologie (Czechoslovak Psychology)

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2019

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vol. 63

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issue 1

71-83

EN

Objectives. Presence of differential item functioning (DIF) in psychological measurement tools can indicate the presence of bias between groups. The present study is focused on analysing DIF between males and females in the Slovak version of NEO Five Factor Inventory (NEO-FFI). Sample and settings. The sample consists of 1016 respondents (40,6% males) from Slovakia, with mean age of 25.97 years (SD=13.42). Statistical analysis. For DIF analysis Mantel’s test in DIFAS 5.0 software, ordinal logistic regression and Poly-SIBTEST were used. Results. The final results show 18 items with medium and large uniform DIF, 6 of them identified by all the methods used. One item showing purely non-uniform DIF was identified. Deletion of identified DIF items caused notable change in scale score differences between males and females in Openness to experience scale. Possible factors causing DIF are discussed. Presence of the identified DIF items does not suggest that NEO-FFI is severely biased against males or females. Limitation. Limitation of the present study lies mainly in the general sample. Future studies should verify these findings on age specific samples.

11

Estimation of product of two population means by multiauxiliary characters under double sampling the non-respondents

88%

Khare B. B., Sinha R. R.

Statistics in Transition new series

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2019

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vol. 20

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issue 3

81-95

EN

This paper considers the problem of estimating the product of two population means using the information on multi-auxiliary characters with double sampling the non-respondents. Classes of estimators are proposed for estimating P under two different situations [discussed by Rao (1986, 90)] using known population mean of multi-auxiliary characters. Further, this problem has been extended to the case when population means of the auxiliary characters are unknown and they are estimated on the basis of a larger first phase sample. In this situation, a class of two phase sampling estimators for estimating P is suggested using multi-auxiliary characters with unknown population means in the presence of non-response. The expressions of bias and mean square error of all the proposed estimators are derived and their properties are studied. An empirical study using real data sets is given to justify the theoretical considerations.

12

Association between adjustment latitude and sickness presence – A panel study of Swedish employees

88%

Johansson G., Gustafsson K., Marklund S.

International Journal of Occupational Medicine and Environmental Health

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2015

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vol. 28

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issue 3

507-518

EN

Objectives This study is analyzing the unexpected reversed or lacking association between high adjustment latitude and sickness presence by examining whether it is due to confounding. Material and Methods Questionnaires were sent in 2004 and 2005 to a cohort of individuals aged 25–50 years, selected from the Statistics Sweden’s register of the Swedish population. Information from 2397 individuals who answered both questionnaires was analyzed by the use of logistic regression analysis. Results The odds ratio for sickness presence among the individuals with a low adjustment latitude compared to those with high adjustment latitude was 1.7 (range: 1.4–2.2). This increased likelihood was almost entirely unaffected in the analysis of potential confounders. Conclusions If the reversed association between adjustment latitude and sickness presence does not reflect confounding, it may be due to reporting bias, which may cause problems in research on sickness presence. We argue that more detailed studies are needed to explore the different sources of possible reporting problems.

75%

Choudhury S., Singh B. K.

Statistics in Transition new series

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2012

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vol. 13

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issue 3

519-536

EN

This paper considers a chain ratio-cum-dual to ratio type estimator for estimating population mean of the study variate using two auxiliary variates under double (two-phase) sampling procedure, when the information on another additional auxiliary variate is available along with the main auxiliary variate. The asymptotically optimum estimators (AOEs) in the class are identified in two different cases with their bias and variances. The optimum values of the first phase and second phase sample sizes have been obtained for the fixed cost of survey. Theoretical and empirical studies have also been done to demonstrate the efficiency of the proposed estimator with respect to strategies which utilized the information on two auxiliary variates.

Refine search results

A General Family of Dual to Ratio-Cum-Product Estimator in Sample Surveys

A Ratio-Cum-Product Estimator of Finite Population Mean in Systematic Sampling

On Classes of Modified Ratio Type And Regression-Cum-Ratio Type Estimators in Sample Surveys Using Two Auxiliary Variables

The Class of Estimators of Finite Population Mean Using Incomplete Multi-Auxiliary Information

Od pierwotnej oralności do wtórnej piśmienności w epoce dominacji internetowego biasu

Improved separate ratio and product exponential type estimators in the case of post-stratification

Noise and bias - some controversies raised by the book 'Noise: A Flaw in Human Judgment', written by Daniel Kahneman, Olivier Sibony, Cass R. Sunstein