Search Results

Skip to Site Navigation

Skip to Site Search

291 Results

Page:   Prev 2 3 4 5 6 7 8 9 10 11 12 Next

Discussion Early View

  • Journal: International Statistical Review
  • Authors: Jianqing Fan, Wenyang Zhang
  • Published Date: Nov 23, 2014

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods Early View

  • Journal: International Statistical Review
  • Authors: Dennis D. Boos, Jason A. Osborne
  • Published Date: Dec 03, 2014

Summary Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide...

Methods for Scalar‐on‐Function Regression Early View

  • Journal: International Statistical Review
  • Authors: Philip T. Reiss, Jeff Goldsmith, Han Lin Shang, R. Todd Ogden
  • Published Date: Feb 23, 2016

Summary Recent years have seen an explosion of activity in the field of functional data analysis (FDA), in which curves, spectra, images and so on are considered as...

Interview with Nancy Reid Early View

  • Journal: International Statistical Review
  • Authors: Ana‐Maria Staicu
  • Published Date: Oct 09, 2017

Summary Nancy Reid was born on September 1952 in Niagara Falls, Canada. She graduated from the University of Waterloo with a Bachelor in Mathematics and a major in...

Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty Early View

  • Journal: International Statistical Review
  • Authors: Gianni Betti, Francesca Gagliardi, Vijay Verma
  • Published Date: Jun 23, 2017

Summary In this paper, we present a practical methodology for variance estimation for multi‐dimensional measures of poverty and deprivation of households and individuals,...

Missing Data: A Unified Taxonomy Guided by Conditional Independence Early View

  • Journal: International Statistical Review
  • Authors: Marco Doretti, Sara Geneletti, Elena Stanghellini
  • Published Date: Nov 21, 2017

Summary Recent work (Seaman et al., ; Mealli & Rubin, ) attempts to clarify the not always well‐understood difference between realised and everywhere definitions of missing at...

Optimal Adaptive Designs with Inverse Ordinary Differential Equations Early View

  • Journal: International Statistical Review
  • Authors: Eugene Demidenko
  • Published Date: Sep 08, 2017

Summary Many industrial and engineering applications are built on the basis of differential equations. In some cases, parameters of these equations are not known and are...

Online Principal Component Analysis in High Dimension: Which Algorithm to Choose? Early View

  • Journal: International Statistical Review
  • Authors: Hervé Cardot, David Degras
  • Published Date: Jul 05, 2017

Summary Principal component analysis (PCA) is a method of choice for dimension reduction. In the current context of data explosion, online techniques that do not require...

Page:   Prev 2 3 4 5 6 7 8 9 10 11 12 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.