Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
Ecological data often show temporal, spatial, hierarchical (random effects), or phylogenetic
structure. Modern statistical approaches are increasingly accounting for such dependencies …
structure. Modern statistical approaches are increasingly accounting for such dependencies …
[HTML][HTML] Electricity price forecasting: A review of the state-of-the-art with a look into the future
R Weron - International journal of forecasting, 2014 - Elsevier
A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …
last 15 years, with varying degrees of success. This review article aims to explain the …
[CITATION][C] Forecasting: principles and practice
RJ Hyndman - 2018 - books.google.com
Forecasting is required in many situations. Stocking an inventory may require forecasts of
demand months in advance. Telecommunication routing requires traffic forecasts a few …
demand months in advance. Telecommunication routing requires traffic forecasts a few …
A protocol for data exploration to avoid common statistical problems
AF Zuur, EN Ieno, CS Elphick - Methods in ecology and …, 2010 - Wiley Online Library
While teaching statistics to ecologists, the lead authors of this paper have noticed common
statistical problems. If a random sample of their work (including scientific papers) produced …
statistical problems. If a random sample of their work (including scientific papers) produced …
[BOOK][B] The analysis of time series: an introduction with R
C Chatfield, H **ng - 2019 - taylorfrancis.com
This new edition of this classic title, now in its seventh edition, presents a balanced and
comprehensive introduction to the theory, implementation, and practice of time series …
comprehensive introduction to the theory, implementation, and practice of time series …
Probabilistic electric load forecasting: A tutorial review
T Hong, S Fan - International Journal of Forecasting, 2016 - Elsevier
Load forecasting has been a fundamental business problem since the inception of the
electric power industry. Over the past 100 plus years, both research efforts and industry …
electric power industry. Over the past 100 plus years, both research efforts and industry …
[BOOK][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
[BOOK][B] Principal component analysis for special types of data
IT Jolliffe - 2002 - Springer
The viewpoint taken in much of this text is that PCA is mainly a descriptive tool with no need
for rigorous distributional or model assumptions. This implies that it can be used on a wide …
for rigorous distributional or model assumptions. This implies that it can be used on a wide …
[BOOK][B] Modern applied statistics with S-PLUS
WN Venables, BD Ripley - 2013 - books.google.com
S is a powerful environment for the statistical and graphical analysis of data. It provides the
tools to implement many statistical ideas that have been made possible by the widespread …
tools to implement many statistical ideas that have been made possible by the widespread …
[BOOK][B] Robust statistics: theory and methods (with R)
A new edition of this popular text on robust statistics, thoroughly updated to include new and
improved methods and focus on implementation of methodology using the increasingly …
improved methods and focus on implementation of methodology using the increasingly …