Search Results

Skip to Site Navigation

Skip to Site Search

80 Results

Page:   1 2 3 4 5 6 Next

An autoregressive model to describe fishing vessel movement and activity Early View

  • Journal: Environmetrics
  • Authors: P. Gloaguen, S. Mahévas, E. Rivot, M. Woillez, J. Guitton, Y. Vermard, M. P. Etienne
  • Published Date: Nov 25, 2014

The understanding of the dynamics of fishing vessels is of great interest to characterize the spatial distribution of the fishing effort and to define sustainable fishing strategies. It is...

Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models Early View

  • Journal: Environmetrics
  • Authors: Scott D. Goddard, Marc G. Genton, Amanda S. Hering, Stephan R. Sain
  • Published Date: Jan 26, 2015

Electrical utility system operators must plan resources so that electricity supply matches demand throughout the day. As the proportion of wind‐generated electricity in the US grows,...

Bivariate geostatistical modelling of the relationship between Loa loa prevalence and intensity of infection Early View

  • Journal: Environmetrics
  • Authors: Emanuele Giorgi, Daniela K. Schlüter, Peter J. Diggle
  • Published Date: May 24, 2017

Loiasis is a neglected tropical disease (NTD) caused by the parasitic roundworm Loa loa. A challenge faced by current multinational programmes to control two other diseases, namely, lymphatic...

Spatiotemporal models for skewed processes Early View

  • Journal: Environmetrics
  • Authors: Alexandra M. Schmidt, Kelly C. M. Gonçalves, Patrícia L. Velozo
  • Published Date: Sep 15, 2016

In the analysis of most spatiotemporal processes in environmental studies, observations present skewed distributions. Usually, a single transformation of the data is used to approximate...

A model‐based approach to wildland fire reconstruction using sediment charcoal records Early View

  • Journal: Environmetrics
  • Authors: Malcolm S. Itter, Andrew O. Finley, Mevin B. Hooten, Philip E. Higuera, Jennifer R. Marlon, Ryan Kelly, Jason S. McLachlan
  • Published Date: Jun 20, 2017

Lake sediment charcoal records are used in paleoecological analyses to reconstruct fire history, including the identification of past wildland fires. One challenge of applying sediment...

Applications of random search methods to foraging in ecological environments and other natural phenomena–A review Early View

  • Journal: Environmetrics
  • Authors: Venkata K. Jandhyala, Stergios B. Fotopoulos
  • Published Date: Jul 04, 2017

Random search methods are central to “predator–prey” problems in natural phenomena where a predator is in search of a randomly located prey. Such problems aim at explaining the movement...

Fractional Gaussian noise: Prior specification and model comparison Early View

  • Journal: Environmetrics
  • Authors: Sigrunn Holbek Sørbye, Håvard Rue
  • Published Date: Jul 07, 2017

Fractional Gaussian noise (fGn) is a stationary stochastic process used to model antipersistent or persistent dependency structures in observed time series. Properties of the...

Riding down the Bay: Space‐time clustering of ecological trends Early View

  • Journal: Environmetrics
  • Authors: Xin Huang, Iliyan R. Iliev, Vyacheslav Lyubchich, Yulia R. Gel
  • Published Date: Jul 11, 2017

The Chesapeake Bay Program, initiated in 1983, is a regional partnership between several state governments, federal agencies, and advisory groups that is involved in the cleanup and...

Page:   1 2 3 4 5 6 Next
Search within results

Start new search

Topic

Topic Search Options

Subject Topics Listing

  •  Biostatistics
  •  Business & Economics
  •  Engineering
  •  Environmental
  •  Methods
  •  Social Sciences

Content Filter

Content Filter Options

Content Types Listing

  • Pages/Blocks (0)

Site Footer

Address:

This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.