Data Analysis by Resampling: Concepts and Applications

Resampling methods: Concepts, Applications, and Justification - Practical Assessment, Research & Evaluation

In recent years many emerging statistical analytical tools, such as exploratory data analysis (EDA), data visualization, robust procedures, and resampling methods, have been gaining attention among psychological and educational researchers. However, many researchers tend to embrace traditional statistical methods rather than experimenting with these new techniques, even though the data structur...

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Background and Objectives: A small sample size can influence the results of statistical analysis. A reduction in the sample size may happen due to different reasons, such as loss of information, i.e. existing missing value in some variables. This study aimed to apply bootstrap and jackknife resampling methods in survival analysis of thalassemia major patients. Methods: In this historical coh...

Resampling Methods in Complex Survey Data

Applications of Resampling Methods to Estimate the Number of Clusters and to Improve the Accuracy of a Clustering Method

The burgeoning eld of genomics, and in particular microarray experiments, have revived interest in both discriminant and cluster analysis, by raising new methodological and computational challenges. The present paper discusses applications of resampling methods to problems in cluster analysis. A resampling method, known as bagging in discriminant analysis, is applied to increase clustering accu...

Spatial dynamics for relative contribution of cropping pattern analysis on environment by integrating remote sensing and GIS

Agriculture resources reflected to be one of the most imperative renewable and dynamic natural resources. Agricultural sustainability has the premier priority in all countries, whether developed or developing. Cropping system analysis is indispensable for grinding the sustainability of agricultural science. Crop alternation is stated as growing one crop after another on the same piece of la...