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lEM : Log-linear and event history analysis with missing data using the EM algorithm

Vermunt, J.K. - Tilburg University, Work and Organization Research Centre - 1993

Persistent link: https://www.econbiz.de/10011093002

Grundlagen der Wahrscheinlichkeitsrechnung und Statistik : Ein Skript für Studierende der Informatik, der Ingenieur- und Wirtschaftswissenschaften

Cramer, Erhard - 2008 - Zweite, überarbeitete Auflage

Persistent link: https://www.econbiz.de/10009610695

Statistik : Der Weg zur Datenanalyse

Fahrmeir, Ludwig - 2007 - Sechste, überarbeitete Auflage

Persistent link: https://www.econbiz.de/10004900101

Arbeitsbuch Statistik

Fahrmeir, Ludwig - 2005 - Vierte, verbesserte Auflage

Persistent link: https://www.econbiz.de/10004882506

Sources for Statistical Data on Flexible Work Arrangements

Boots, Shelley Waters; Danziger, Anna - 2008

From the Department of Labor, the best survey for flexibility data comes from the Current Population Survey (CPS). The CPS is a monthly survey of 60,000 households that provides data on the labor force, employment, unemployment, and persons not in the labor force.The benefit of the CPS is that...

Persistent link: https://www.econbiz.de/10009466416

Goodness-of-fit in hierarchical logistic regression models

Sturdivant, Rodney X - 2005

unweighted sums of squares, Pearson residual and Hosmer-Lemeshow statistics at various levels of the hierarchical model. Our … results suggest such statistics do not offer reasonable performance in the hierarchical logistic model in terms of Type I … error rates. We also develop Kernel smoothed versions of the statistics using level one residuals and a modified unweighted …

Persistent link: https://www.econbiz.de/10009467746

Topics in univariate time series analysis with business applications

Khachatryan, Davit - 2010

- a data exploratory tool widely used in spatial (geo) statistics for the investigation of spatial correlation of data …

Persistent link: https://www.econbiz.de/10009467764

Correction methods, approximate biases, and inference for misclassified data

Shieh, Meng-Shiou - 2009

When categorical data are misplaced into thewrong category, we say the data is affected by misclassification. This is common for data collection. It is well-known that naive estimators of category probabilities and coefficients for regression that ignore misclassification can be biased. In this...

Persistent link: https://www.econbiz.de/10009467861

A study on forecasting high-frequency time series with multiple seasonal patterns

Baek, Moonyoung - 2008

The present study aimed to examine the forecasting performance of various univariate approaches to forecast high-frequency time series which contains more than one seasonal pattern in hourly data. To achieve the purpose of the study, we performed the following procedures with major findings....

Persistent link: https://www.econbiz.de/10009467911

Covariate adjustment, model misspecification, and goodness-of-fit in logistic regression

Bucher, Annette M - 1997

misspecification often result in small changes in the discrepancy measures. The results suggest that statistics measuring lack of fit … than the other two statistics, but that it can only distinguish between highly different levels of model fit. …

Persistent link: https://www.econbiz.de/10009468197