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Correction methods, approximate biases, and inference for misclassified data

Shieh, Meng-Shiou - 2009

When categorical data are misplaced into the wrong 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/10009467829

Zero Tolerance Ecology: Improving Ecological Inference By Modelling the Source of Zero Observations

Martin, Tara G.; Wintle, Brendan A.; Rhodes, Jonathan R.; … - 2005

A common feature of ecological datasets is their tendency to contain many zero values. Statistical inference based on such data is likely to be inefficient or wrong unless careful thought is given to how these zeros arose and how best to model them. In this paper, we propose a framework for...

Persistent link: https://www.econbiz.de/10009447984

Air Transportation System Performance: Estimation and Comparative Analysis of Departure Delays

Tu, Yufeng - 2006

The U.S. National Airspace System (NAS) is inherently highly stochastic. Yet,many existing decision support tools for air traffic flow management take a deterministic approach to problem solving. In this study, we focus on the flight departure delays because such delays serve as inputs to many...

Persistent link: https://www.econbiz.de/10009450938

Bayesian inference on mixture models and their applications

Calvin, James A. (contributor); Mallick, Bani K. (contributor) - 2003

Mixture models are useful in describing a wide variety of random phenomena becauseof their flexibility in modeling. They have continued to receive increasing attentionover the years from both a practical and theoretical point of view. In their applications,estimating the number of mixture...

Persistent link: https://www.econbiz.de/10009464933

Estimating input allocation for farm supply models

Gocht, Alexander - 2008

When building an economic model for supply analysis the aim is to model a decision makingprocess of one or more agents which fits the observed practice as good as possible. Hereby themodeller is often confronted with incomplete information about the production process; particularcrop specific...

Persistent link: https://www.econbiz.de/10009443243

The Verification of Probabilistic Forecasts in Decision and Risk Analysis

Jose, Victor Richmond - 2009

Probability forecasts play an important role in many decision and risk analysis applications. Research and practice over the years have shown that the shift towards distributional forecasts provides a more accurate and appropriate means of capturing risk in models for these applications. This...

Persistent link: https://www.econbiz.de/10009475514

DISCERNING Intra-Metropolitan Patterns of Producer Service Establishment Location using Geographic Information Systems

Lindsay, Francis - 2005

services, and the entropy (or diversity) of services within postal code areas and how this measure correlates to the presence …

Persistent link: https://www.econbiz.de/10009450967

Lean Six Sigma as a Source of Competitive Advantage

Cavallini,Alessandro Giorgio 1979- - 2008

Anecdotal data affirms that companies applying Lean Six Sigma in their operations not only deliver higher quality products and services, but also obtain superior financial results. The goal of this research was to empirically verify anecdotal data. The study proposed to analyze a group of...

Persistent link: https://www.econbiz.de/10009457236

The evaluation of internal and external entropy of agricultural enterprises

Rolínek, Ladislav; Doktorová, Milena - 2012

The level of internal and external entropy belongs to basic indicators of evaluation of successfulness of management …. Entropy represents measure of nonsystematicness enterprise, which can lead to decrease its productivity. The aim of the … article is to describe and evaluated measure of entropy of agricultural enterprises. …

Persistent link: https://www.econbiz.de/10011316136

Entropy Based Moment Selection in Generalized Method of Moments

Shin, Changmock - 2005

GMM provides a computationally convenient estimation method and the resulting estimator can be shown to be consistent and asymptotically normal under the fairly moderate regularity conditions. It is widely known that the information content in the population moment condition has impacts on the...

Persistent link: https://www.econbiz.de/10009431183