Managing missing data.(Data Systems)

From: Software World | Date: May 1, 2004| Author: | Copyright information

Today's commercially competitive world where the customer is king relies on data, and huge amounts of it. Retailers, financial institutions, leisure providers and many other types of company collect, process and then analyse vast amounts of lifestyle, demographic, and transaction data, to understand how their customers' purchasing patterns are related to their individual characteristics. Indeed, there are numerous published studies of how the analysis of all these data are helping companies in many sectors gain commercial advantage and so increase their profits by improving their ...

Related newspaper, magazine, and trade journal articles from HighBeam Research

(Including press releases, facts, information, and biographies)

Missing Data: A Gentle Introduction
Magazine article from: Personnel Psychology ; ...Sidani, and Aurelio Jose Figueredo. Missing Data: A Gentle Introduction. New York: Guilford...incomplete data-and despite the ubiquity of missing data in social research-the preponderance...journal articles still essentially ignores missing data altogether. Continued reliance upon...
A potential for bias when rounding in multiple imputation.(Statistical Practice)
Magazine article from: The American Statistician ; 1. INTRODUCTION Missing data is a common occurrence in most datasets...method for parameter estimation with missing data is the method of multiple imputation...multiple imputation is fillingin the missing data by drawing from the conditional distribution of the missing ...
Statistical Analysis With Missing Data (2nd ed.).(Book Review)
Magazine article from: Technometrics ; ...I audited a masters-level course on missing data and the EM algorithm. I remember being...datasets often come to us with some values missing. Data can be incomplete for many reasons...problem. For an analysis to be valid, any missing data must be dealt with appropriately. How...
Bayesian Inference With Missing Data Using Bound and Collapse.
Magazine article from: Journal of Computational & Graphical Statistics ; ...conditional probabilities from samples with missing data pose serious problems of robustness...using information about the pattern of missing data. Deterministic approximations of the...inference; Gibbs sampling; Imputation; Missing data. 1. INTRODUCTION Missing data ...
Are values missing randomly in survey research?
Magazine article from: Educational Research Quarterly ; Many missing data studies have simulated...impute values for missing data is questionable...containing more than one missing value were selected...used to handle missing data influenced the...randomness in the missing data. The dilemma...determining which ...
Imputing missing data: a comparison of methods for social work researchers.(management)
Magazine article from: Social Work Research ; ...the most appropriate method to handle missing data during analyses is one of the most challenging...data imputation were used to replace missing data from two data sets of varying sizes...data analysis; data imputation methods; missing data; research methods ********** Five hundred...
Coding, analysis, and dissemination of study results.(Demystifying Nursing Research)
Magazine article from: Urologic Nursing ; ...9. Thus, 9 represents a missing value. It is also important to...mistakes, inaccuracies, and missing data. Sometimes researchers enter...third strategy to manage missing data is to substitute missing values. This can be done...estimated and inserted for the missing ...
Analysis of censored survival data with intermittently observed time-dependent binary covariates.
Magazine article from: Journal of the American Statistical Association ; ...is the occurrence of missing covariates. Missing data can occur, for example...methods for dealing with missing data may be infeasible or...in the situation of missing time-dependent covariates...any subject with a missing value is discarded from the...simple treatment ...
Biases in SPSS 12.0 Missing Value Analysis.(Product/Service Evaluation)
Magazine article from: The American Statistician ; ...called SPSS Missing Value Analysis (MVA...reviews of missing-value packages (e...limitations. 2. MISSING VALUE MECHANISMS...ignore the missing data mechanism provided...MAR, then the missing data mechanism...model of the missing data ...
An Expectation-Maximization-Likelihood-Ratio Test for Handling Missing Data: Application in Experimental Crosses
Magazine article from: Genetics ; ...question in animal and human studies. Missing data are common in such study settings, and ignoring such missing data may result in biased estimates of...parameter estimates in the presence of missing data, offers a greater statistical power...

Find more facts and information related to the article "Managing missing data.(Data Systems)"