A contribution on the nature and treatment of missing data in large market surveys

QR Code

A contribution on the nature and treatment of missing data in large market surveys

Nonresponse (or missing data) is often encountered in large-scale surveys. To enable the behavioural analysis of these data sets, statistical treatments are commonly applied to complete or remove these data. However, the correctness of such procedures critically depends on the nature of the underlyi...

Full description

Bibliographic Details
Main Authors:	Madden, Gary, Vicente, M., Rappoport, P., Banerjee, A.
Format:	Journal Article
Published:	Routledge 2016
Online Access:	http://hdl.handle.net/20.500.11937/38048

Similar Items

VoIP in developing countries: the next disruptive technology?
by: Banerjee, A., et al.
Published: (2008)

A cross-country assessment of the digital divide
by: Rappoport, P., et al.
Published: (2009)

E-commerce transactions, the installed base of credit cards, and the potential mobile E-commerce adoption
by: Madden, G., et al.
Published: (2016)

Comparison of missing rainfall data treatment analysis at Kenyir Lake
by: Azreen Harina, Azman, et al.
Published: (2021)

Assessing eHealth skills across Europeans
by: Rosalía Vicente, M., et al.
Published: (2017)

Sensitivity of missing values in classification tree for large sample
by: Hasan, Norsida, et al.
Published: (2011)

Determination of the best single imputation algorithm for missing rainfall data treatment
by: Gamil Abdulraqeb Abdullah Saeed,, et al.
Published: (2016)

Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016)

SME competition in digital markets
by: Madden, Gary
Published: (2009)

OECD broadband market penetration
by: Madden, Gary
Published: (2011)

The Asia Pacific natural gas market: Large enough for all?
by: Aguilera, Roberto F., et al.
Published: (2014)

The Asia Pacific natural gas market: Large enough for all?
by: Aguilera, R., et al.
Published: (2014)

Enhanced mechanism to handle missing data of Hadith classifier
by: Aldhlan, Kawther A., et al.
Published: (2011)

The Australian Digital Market: Opportunities and Challenges
by: Madden, Gary, et al.
Published: (2015)

Analysis of missing data on estimable parameter function
by: Daoud, Jamal Ibrahim, et al.
Published: (2006)

Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)

Blended Traditional and Virtual Seller Market Entry and Performance
by: Beard, T., et al.
Published: (2014)

Dominant carrier market power in US international telephone markets
by: Alleman, J., et al.
Published: (2003)

Forecasting telecommunications data with linear models
by: Madden, Gary, et al.
Published: (2007)

Real options methodology applied to the ICT sector: a survey
by: Alleman, J., et al.
Published: (2008)

Aggregate selection, data characteristics and choice of optimal model
by: Fildes, R., et al.
Published: (2008)

Development of missing data prediction model for carbon monoxide
by: Abd Rani, Nurul Latiffah, et al.
Published: (2019)

Extreme modelling of missing Acacia Mangium height data
by: Adam, Mohd Bakri, et al.
Published: (2018)

Stochastic modelling of the growth of C. Acetobutylicum with missing data
by: Mohd. Lip, Norliana
Published: (2009)

Contribution of social marketing strategies to community-based obesity prevention programmes in children
by: Gracia-Marco, L., et al.
Published: (2011)

Intelligent imputation method for mix data-type missing values to improve data quality
by: Alabadla, Mustafa R. A.
Published: (2024)

Restoration of missing data in old archives based on genetic algorithm
by: Khammar, Mohammad Reza, et al.
Published: (2014)

Small Firm Performance in Online Markets
by: Madden, Gary, et al.
Published: (2013)

Missing value estimation methods for data in linear functional relationship model
by: Adilah Abdul Ghapor,, et al.
Published: (2017)

Galaxy Clustering in Large Redshift Surveys
by: Hawkins, Ed
Published: (2003)

Missing data estimation on heart disease using artificial neural network and rough set theory
by: A.F.M., Hani, et al.
Published: (2007)

Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan
by: Muhammad Sadiq , Khan
Published: (2018)

Entry into 3G Mobile Telecommunications Markets
by: Madden, Gary, et al.
Published: (2012)

Efficiency of natural coagulants for treatment of public market wastewater
by: Mohd Radzuan, Rosmawanie
Published: (2018)

Replacing missing values using trustworthy data values from web data sources
by: Mohd Jaya, Mohd Izham, et al.
Published: (2017)

Identifying the Ideal Number Q-Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment
by: Chuan, Zun Liang, et al.
Published: (2018)

The First Large Absorption Survey in H i (FLASH): I. Science goals and survey design
by: Allison, J.R., et al.
Published: (2022)

Statistical analysis in estimating missing rainfall data / Norlaila Hamzah
by: Hamzah, Norlaila
Published: (2006)

Missing-values imputation algorithms for microarray gene expression data
by: Moorthy, Kohbalan, et al.
Published: (2019)

An efficient approach to detecting missing tags in RFID data stream
by: Zainudin, Nur’Aifaa, et al.
Published: (2018)