6,966 research outputs found
Practical Advice to Entrepreneurs Series by ACE Adjunct Professor Dean Shepherd: Practical advice on managing new venture survival
No full textThe author, Dean Shepherd, is of entrepreneurship—how entrepreneurs think, decide to act, and feel. He recently realized that while his publications in academic journals have implications for entrepreneurs, those implications have remained relatively hidden in the text of the articles and hidden in articles published in journals largely inaccessible to those involved in the entrepreneurial process. This series is designed to bring the practical implications of his research to the forefront
Practical Advice to Entrepreneurs Series by ACE Adjunct Professor Dean Shepherd: Practical advice on whether to grow the business
No full textThe author, Dean Shepherd, is of entrepreneurship—how entrepreneurs think, decide to act, and feel. He recently realized that while his publications in academic journals have implications for entrepreneurs, those implications have remained relatively hidden in the text of the articles and hidden in articles published in journals largely inaccessible to those involved in the entrepreneurial process. This series is designed to bring the practical implications of his research to the forefront
Practical Advice to Entrepreneurs Series by ACE Adjunct Professor Dean Shepherd: Practical advice on making the business more entrepreneurial
No full textThe author, Dean Shepherd, is of entrepreneurship—how entrepreneurs think, decide to act, and feel. He recently realized that while his publications in academic journals have implications for entrepreneurs, those implications have remained relatively hidden in the text of the articles and hidden in articles published in journals largely inaccessible to those involved in the entrepreneurial process. This series is designed to bring the practical implications of his research to the forefront
Recommended from our members
“She’s Earned This”: Angela Onwuachi-Willig Rejoices in Historic Confirmation
No full textAngela Onwuachi-Willig, the dean of Boston University’s School of Law—the first Black woman to be dean of a top-20 law school—is rejoicing. The first Black woman has been confirmed to the US Supreme Court.
Onwuachi-Willig has had Ketanji Brown Jackson’s back from the moment President Biden announced he would nominate the federal judge to the nation’s highest court
“She’s Earned This”: Angela Onwuachi-Willig Rejoices in Historic Confirmation
No full textAngela Onwuachi-Willig, the dean of Boston University’s School of Law—the first Black woman to be dean of a top-20 law school—is rejoicing. The first Black woman has been confirmed to the US Supreme Court.
Onwuachi-Willig has had Ketanji Brown Jackson’s back from the moment President Biden announced he would nominate the federal judge to the nation’s highest court
Practical Advice to Entrepreneurs Series by ACE Adjunct Professor Dean Shepherd: Practical advice on whether to act entrepreneurially
No full textThe author, Dean Shepherd, is interested in the psychology of entrepreneurship — how entrepreneurs think, decide to act, and feel. He recently realized that while his publications in academic journals have implications for entrepreneurs, those implications have remained relatively hidden in the text of the articles and hidden in articles published in journals largely inaccessible to those involved in the entrepreneurial process. This series is designed to bring the practical implications of his research to the forefront
Bayesian designs for hierarchical linear models
No full textTwo Bayesian optimal design criteria for hierarchical linear models are discussed – the ?? criterion for the estimation of individual-level parameters ?, and the ?? criterion for the estimation of hyperparameters ?. We focus on a specific case in which all subjects receive the same set of treatments and in which the covariates are independent of treatments. We obtain the explicit structure of ??- and ??- optimal continuous (approximate) designs for the case of independent random effects, and for some special cases of correlated random effects. Through examples and simulations, we compare ??- and ??-optimal designs under more gen- eral scenarios of correlated random effects. While orthogonal designs are often ??-optimal even when the random effects are correlated, ??-optimal designs tend to be nonorthogonal and unbalanced. In our study of the robustness of ??- and ??-optimal designs, both types of designs are found to be insensitive to various specifications of the response errors and the vari- ances of the random effects, but sensitive to the specifications of the signs of the correlations of the random effects
Practical Advice to Entrepreneurs Series by ACE Adjunct Professor Dean Shepherd: Practical advice for prisoners on developing an entrepreneurial career
No full textThe author, Dean Shepherd, is of entrepreneurship—how entrepreneurs think, decide to act, and feel. He recently realized that while his publications in academic journals have implications for entrepreneurs, those implications have remained relatively hidden in the text of the articles and hidden in articles published in journals largely inaccessible to those involved in the entrepreneurial process. This series is designed to bring the practical implications of his research to the forefront
Construction and analysis of Es2 efficient supersaturated designs
No full textIn this paper, we construct supersaturated designs for large numbers of two-level factors and 10?n?22 runs by augmenting k-circulant designs [Liu, Y., Dean, A.M., 2004. k-circulant supersaturated designs. Technometrics 46, 32–43] with interaction columns or by deleting columns from k-circulant designs. Most of the designs presented have Es2 efficiencies above 0.90 and they extend the range of efficient supersaturated designs available in the literature.Difficulties encountered in the use of supersaturated designs in detecting active factors are addressed. We show that, when only one factor is active, the regression technique of forward selection is guaranteed to select the correct factor as active under the idealized conditions that non-active factors have negligible effects and the errors are small. Under similar conditions, we derive bounds on the maximum allowable correlation between the columns of the model matrix that guarantee the correct selection of the “most active” factor when two or more factors are non-negligible. Further, we obtain conditions for the correct selection of the two most active factors using subset selection in regression. A number of designs that satisfy these conditions are identified
Practical Advice to Entrepreneurs Series by ACE Adjunct Professor Dean Shepherd: Practical advice on pulling the plug on a failing business
No full textThe author, Dean Shepherd, is of entrepreneurship—how entrepreneurs think, decide to act, and feel. He recently realized that while his publications in academic journals have implications for entrepreneurs, those implications have remained relatively hidden in the text of the articles and hidden in articles published in journals largely inaccessible to those involved in the entrepreneurial process. This series is designed to bring the practical implications of his research to the forefront
- …
