Population mean
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Modified Exponential Ratio and Product Estimators for Finite Population Mean in Double Sampling Open
This paper presents exponential ratio and product estimators for estimating finite population mean using auxiliary information in double sampling and analyzes their properties. These estimators are compared for their precision with simple …
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Understanding the Difference Between Standard Deviation and Standard Error of the Mean, and Knowing When to Use Which Open
Many authors are unsure of whether to present the mean along with the standard deviation (SD) or along with the standard error of the mean (SEM). The SD is a descriptive statistic that estimates the scatter of values around the sample mean…
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What Does It “Mean”? A Review of Interpreting and Calculating Different Types of Means and Standard Deviations Open
Typically, investigations are conducted with the goal of generating inferences about a population (humans or animal). Since it is not feasible to evaluate the entire population, the study is conducted using a randomly selected subset of th…
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Varieties of Confidence Intervals Open
Error bars are useful to understand data and their interrelations. Here, it is shown that confidence intervals of the mean (CI M s) can be adjusted based on whether the objective is to highlight differences between measures or not and base…
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Finite population distribution function estimation with dual use of auxiliary information under simple and stratified random sampling Open
The main purpose of this paper is to propose two new estimators for estimating the finite population distribution function under simple and stratified random sampling schemes using supplementary information on the distribution function, me…
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Reaction Times and other Skewed Distributions Open
To summarise skewed (asymmetric) distributions, such as reaction times, typically the mean or the median are used as measures of central tendency. Using the mean might seem surprising, given that it provides a poor measure of central tende…
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Reaction times and other skewed distributions: problems with the mean and the median Open
To summarise skewed (asymmetric) distributions, such as reaction times, typically the mean or the median are used as measures of central tendency. Using the mean might seem surprising, given that it provides a poor measure of central tende…
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Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters Open
Conventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt to use some non-conventional location measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range of the auxil…
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Quality of Life among General Populations of Different Countries in the Past 10 Years, with a Focus on Human Development Index: A Systematic Review and Meta-analysis. Open
Overall, the highest means of various QOL domains were observed in the very high HDI subgroup.
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Reaction times and other skewed distributions: problems with the mean and the median Open
To summarise skewed (asymmetric) distributions, such as reaction times, typically the mean or the median are used as measures of central tendency. Using the mean might seem surprising, given that it provides a poor measure of central tende…
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Estimation of finite population distribution function with dual use of auxiliary information under non-response Open
In this paper, we propose two new families of estimators for estimating the finite population distribution function in the presence of non-response under simple random sampling. The proposed estimators require information on the sample dis…
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A New Exponential Type Estimator for the Population Mean in Simple Random Sampling Open
This paper provides a new exponential type estimator in simple random sampling for population mean. It is shown that proposed exponential type estimator is always more efficient than estimators considered by Bahl and Tuteja (1991) and Singh,…
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Neutrosophic ratio-type estimators for estimating the population mean Open
All researches, under classical statistics, are based on determinate, crisp data to estimate the mean of the population when auxiliary information is available. Such estimates often are biased. The goal is to find the best estimates for th…
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Do Larger Samples Really Lead to More Precise Estimates? A Simulation Study Open
In this paper, we use simulated data to find out if larger samples support estimation of population parameters by examining whether or not higher samples give rise to more precise estimates of population parameters. We simulated a normally…
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New ranked set sampling for estimating the population mean and variance Open
The purpose of this study is to suggest a new modification of the usualranked set sampling (RSS) method, namely; neoteric ranked set sampling (NRSS) for estimating the population mean and variance. Theperformances of the empirical mean and…
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Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors Open
In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as…
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Estimation of finite population mean using dual auxiliary variable for non-response using simple random sampling Open
This paper addresses the issue of estimating the population mean for non-response using simple random sampling. A new family of estimators is proposed for estimating the population mean with auxiliary information on the sample mean and the…
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Estimation of general parameters using auxiliary information in simple random sampling without replacement Open
Estimation of population parameters plays a vital role in the area of sampling. Many authors have proposed several estimators for estimating population parameter(s) using auxiliary information. This paper has attempted to suggest a new est…
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A generalized exponential-type estimator for population mean using auxiliary attributes Open
In this paper, we propose a generalized class of exponential type estimators for estimating the finite population mean using two auxiliary attributes under simple random sampling and stratified random sampling. The bias and mean squared er…
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Estimation of Finite Population Mean by Using Minimum and Maximum Values in Stratified Random Sampling Open
In this paper we have suggested an improved class of ratio type estimators in estimating the finite population mean when information on minimum and maximum values of the auxiliary variable is known. The properties of the suggested class of…
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A generalized class of estimators for sensitive variable in the presence of measurement error and non-response under stratified random sampling Open
In survey sampling an investigator may be unable to get the complete and correct information at the same time. So non-response and measurement error occur simultaneously and consequently may effect the estimator. Considering this problem, …
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Investigating Response Patterns Across Surveys: Do Respondents Show Consistency in Undesirable Answer Behaviour over Multiple Surveys? Open
The relation between answer behaviour and measurement error has been studied extensively. Answer behaviour may be considered undesirable, like answering ‘don’t know’ or ‘won’t tell’. It is not clear to what degree undesirable answer behavi…
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Generalized exponential estimators for the finite population mean Open
This study proposes a new class of exponential-type estimators in simple random sampling for the estimation of the population mean of the study variable using information of the population proportion possessing certain attributes. Theoreti…
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Memory Type Ratio and Product Estimators in Stratified Sampling Open
The exponential weighted moving average (EWMA) statistic is utilized the past information along with the present to enhance the efficiency of the estimators of the population parameters. In this study, the EWMA statistic is used to estimat…
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Dual Use of Auxiliary Information for Estimating the Finite Population Mean under the Stratified Random Sampling Scheme Open
In this paper, we proposed an improved family of estimators for finite population mean under stratified random sampling, which needed a helping variable on the sample mean and rank of the auxiliary variable. The expression of the bias and …
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Improved Ratio Estimators for the Population Mean Using Non-Conventional Measures of Dispersion Open
In recent times, it is common to the make use of auxiliary information to increase the precision of estimators in sample surveys. In this study, we propose some new modified linear regression type ratio estimators for estimating population…
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Improved estimation of population distribution function using twofold auxiliary information under simple random sampling Open
In this article, our main aim is to suggest enhanced families of estimators for estimating the population distribution function (DF) using twofold auxiliary evidence within the framework of simple random sampling. Numerical analysis is per…
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Estimation of finite population mean under PPS in presence of maximum and minimum values Open
This article deals with the estimation of the finite population mean under probability proportional to size (PPS) sampling using information on the auxiliary variable along with the rank of the auxiliary variable. We propose a ratio, prod…
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Estimation of population mean in the presence of measurement error and non response under stratified random sampling Open
In the present paper we propose an improved class of estimators in the presence of measurement error and non-response under stratified random sampling for estimating the finite population mean. The theoretical and numerical studies reveal …
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On Efficient Estimation of the Population Mean under Stratified Ranked Set Sampling Open
This paper considers some efficient combined and separate classes of estimators of the population mean in the presence of bivariate auxiliary information under stratified ranked set sampling. The mean square error (MSE) expressions of the …