Any attempt to assess species abundances must employ a sampling design that balances collection of accurate information for many species with a reasonable sampling effort. To assess the accuracy of commonly used within-site sampling designs for sessile species, we gathered cover data at 2 rocky intertidal locations in Southern California using a high-density point-contact method that maintained...

1. What is a Survey? 2. Probability sampling 3. Common probability sampling designs 3.1. Simple Random Sampling 3.2. Stratified Sampling 3.3. Cluster Sampling 3.4. Unequal Probability Sampling 3.5. Systematic Sampling 3.6. Stratified Multistage Sampling 4. Survey estimates and standard errors 5. Nonsampling errors 6. Sampling rare populations 7. Issues in Survey Design Acknowledgments Glossary ...

This article considers Monte Carlo integration under rejection sampling or Metropolis-Hastings sampling. Each algorithm involves accepting or rejecting observations from proposal distributions other than a target distribution. While taking a likelihood approach, we basically treat the sampling scheme as a random design, and define a stratified estimator of the baseline measure. We establish tha...

This study investigated principals’ leadership styles and teachers’ job performance in senior secondary schools in Ondo State, Nigeria. The study population comprised all the 281 secondary schools in the State. Out of this population, a sample of 240 senior secondary schools was taken and selected through the stratified random sampling technique. Out of the 7460 teachers (including principals) ...

High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge exists in double. The use of effective sampling technique in classification algorithms always yields good prediction accuracy. The SEER public use cancer databas...

This descriptive survey research was undertaken to study the factors affecting attitudes of agricultural faculty members towards nanotechnology. The statistical population of this study consisted of the agricultural faculty members in Iran (N=225). A sample of 144 persons was selected by using the stratified random sampling method. Data collected using a mailed questionnaire that was validated ...

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...