To create and sustain a competitive advantage in markets that increasingly value animal welfare attributes, meat companies need to meet public and private production standards while communicating to final consumers through their brands. Data are collected from a representative sample of 460 U.S....

The theme of this paper is innovation - in statistics and, more generally, in business and industry. Innovations in statistical theory have historically frequently occurred in direct response to demands for solutions to important practical problems. A major motivation for the establishment of...

Strategic alliances are of critical importance to firms working in the health biotechnology2 field. Collaborations can provide firms with significant competitive advantages, shape their economic performance and help minimize risks in development activities (Hagedoorn, 1993). Alliances in the...

The traditional searching method for model-order selection in linear regression is a nested full-parameters-set searching procedure over the desired orders, which we call full-model order selection. On the other hand, a method for model-selection searches for the best sub-model within each...

Biased estimation has the advantage of reducing the mean squared error (MSE) of an estimator. The question of interest is how biased estimation affects model selection. In this paper, we introduce biased estimation to a range of model selection criteria. Specifically, we analyze the performance...

We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty function and the performance of the estimate...

Florax et al. [Florax, R.J.G.M., Folmer, H., Rey, S.J., 2003. Specification searches in spatial econometrics: the relevance of Hendry's methodology. Regional Science and Urban Economics, 33, 557–579] undertook a simulation study designed to assess the properties of various selection strategies...

The properties of automatic model selection are discussed, focusing on PcGets. We explain the background concepts and why automatic methods can perform well. Criticisms of model selection procedures are noted and rebutted. The algorithm is sketched, distinguishing between costs of search and...

This paper investigates a comprehensive assessment of firm strategic behavior under financial market uncertainty. A general theoretical model of market value maximization (MVM) is constructed using a traditional capital asset pricing format. The model built on the nonlinear Almost Ideal Demand...