The objective of this research is to investigate attitudes of management in Croatian small enterprises that use statistical methods towards statistical thinking in order to gain an insight into related issues. The research was conducted in 2013 using a web survey with a random sample of 631 Croatian small enterprises, but this paper focuses only on those enterprises that use statistical methods...

This paper provides an updated review of Monte Carlo simulation. The use of random sampling, its consequences in simulation, the use of descriptive sampling, its advantages, its limits and its improvement upon the precision of simulation estimates: Refined descriptive sampling. This state of the art gives also an insight into other sampling procedures used in the literature, like Ranked set sam...

In stratified random sampling, minimizing the variance of a total estimate leads to the optimal allocation. However, in practice, this original method is scarcely appropriate since in many applications additional constraints have to be considered. Three optimization algorithms are presented that solve the integral allocation problem with upper and lower bounds. All three algorithms exploit the ...

This research article addresses an efficient separate and combined class of estimators for the population mean estimation based on stratified random sampling (StRS). The first order approximated expressions bias square error proposed are obtained. A comparative study is conducted to determine efficiency conditions in which suggested outperforms contemporary estimators. These examined through ex...

Abstract In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested were developed under stratified random sampling using information on an auxiliary variable in the form of robust statistical measures, including Gini’s mean difference, Downton’s method and probability weighted moments. properties (biases MSEs) proposed studied up to terms first-ord...

The present paper is an extension of the work published in Kumar and Vishwakarma (Proceedings theNational Academy Sciences, India, Section A: Physical 90(5): 933-939, 2020). In this paper,various sample allocation schemes are utilized to derive mathematical expressions for mean square errors(MSEs) several well-known estimators population stratified random sampling. Moreover, theeffects various ...

Once the research question and the research design have been finalised, it is important to select the appropriate sample for the study. The method by which the researcher selects the sample is the ' Sampling Method'. There are essentially two types of sampling methods: 1) probability sampling - based on chance events (such as random numbers, flipping a coin etc.); and 2) non-probability samplin...

According to the statistical random sampling method, estimation has been taken confidence interval into account in statistics due to the unknown probability for the deviations of point estimate. In terms of fuzziness or vagueness, confidence interval is defined as a range of numerical values, not a single value, so we have to discover an estimate for that interval at first. Based on the above-m...