Biodiversity Studies and Multicollinearity in Multivariate Data Analysis

the stady and analysis of rice agroclimatology in lenjan

the west of esfahan province, iran, is one of the most important agricultural areas throughout the country due to the climate variability and life-giving water of zayanderood river. rice is one of the major and economic crops in this area. the most important climatic elements in agricultural activities which should be considered include temperature, relative humidity, precipitation and wind. so...

Exploratory Multivariate Data Analysis

Cover The words on the front and back cover pages have been ordered by letting MATLAB ® choose randomly and uniformly from a list of selected keywords. i Preface This PhD dissertation is based on a series of research projects conducted at The Royal Veterinary and Agricultural University (KVL), in the Chemometrics Research Group of Professor Lars Munck and colleagues during the period 1996-99. P...

Analysis of Amphibian Biodiversity Data

In this chapter I discuss problems of use, misuse, and problematical interpretation of data, specifically for amphibian biologists. I focus on statistical procedures that are appropriate for amphibian sampling and monitoring and consider limiting factors and assumptions of statistical models in terms suitable for observational and other studies. The number of formulas I present is negligible, a...

Visualisation in Multivariate and Multidimensional Data Analysis

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies.

The adverse impact of ignoring multicollinearity on findings and data interpretation in regression analysis is very well documented in the statistical literature. The failure to identify and report multicollinearity could result in misleading interpretations of the results. A review of epidemiological literature in PubMed from January 2004 to December 2013, illustrated the need for a greater at...