Although analytical methods in statistics have all along been generic and evolutionary in the first half of past century, the developments happening in the field of computational statistics in the past couple of decades are more need based and custom tuned. A lot of effort is being put in by researchers in bundling methods, theory and procedures in classical statistical literature on their common applicability to a targeted exploration. It is common place to collate various univariate, multivariate, parametric, non-parametric, frequentist and nonfrequentist methods, which have applications in different domains like ecology, clinical trials, bioinformatics etc. and tag them as per the domain subject matter. Thus the generic and speci...
Garamszegi LZ, Calhim S, Dochtermann N, et al. Changing philosophies and tools for statistical infer...
1. Multiscale codependence analysis (MCA) quantifies the joint spatial distribution of a pair of var...
Statistics is a science that deals with variability in data. The presence of variation in natural pr...
Although analytical methods in statistics have all along been generic and evolutionary in the first...
Although analytical methods in statistics have all along been generic and evolutionary in the first ...
Statistics plays a central role in research, planning and decision-making in almost all natural an...
Non-parametric multivariate analyses of complex ecological datasets are widely used. Following appr...
The application of multivariate statistical analyses has become a consistent feature in microbial ec...
This book is about understanding and applying multivariate statistical methods useful for analyzing ...
PRIMER (Plymouth Routines In Multivariate Ecological Research) is a software aimed at analyzing dat...
The most common statistical pitfalls in ecological research are those associated with data explorati...
This document provides a simple introduction to research methods and analysis tools for biologists o...
The Methods section is a key component of any ecology research publication containing detailed infor...
Twenty-first century ecology requires statistical fluency. Observational and experimental studies ro...
Statistical ecology is the area of statistics that deals with the development of new methodology for...
Garamszegi LZ, Calhim S, Dochtermann N, et al. Changing philosophies and tools for statistical infer...
1. Multiscale codependence analysis (MCA) quantifies the joint spatial distribution of a pair of var...
Statistics is a science that deals with variability in data. The presence of variation in natural pr...
Although analytical methods in statistics have all along been generic and evolutionary in the first...
Although analytical methods in statistics have all along been generic and evolutionary in the first ...
Statistics plays a central role in research, planning and decision-making in almost all natural an...
Non-parametric multivariate analyses of complex ecological datasets are widely used. Following appr...
The application of multivariate statistical analyses has become a consistent feature in microbial ec...
This book is about understanding and applying multivariate statistical methods useful for analyzing ...
PRIMER (Plymouth Routines In Multivariate Ecological Research) is a software aimed at analyzing dat...
The most common statistical pitfalls in ecological research are those associated with data explorati...
This document provides a simple introduction to research methods and analysis tools for biologists o...
The Methods section is a key component of any ecology research publication containing detailed infor...
Twenty-first century ecology requires statistical fluency. Observational and experimental studies ro...
Statistical ecology is the area of statistics that deals with the development of new methodology for...
Garamszegi LZ, Calhim S, Dochtermann N, et al. Changing philosophies and tools for statistical infer...
1. Multiscale codependence analysis (MCA) quantifies the joint spatial distribution of a pair of var...
Statistics is a science that deals with variability in data. The presence of variation in natural pr...