Admissibility of generalized bayes and pitman estimates in the non-regular family

In this paper we have considered the problem of finding admissible estimates for a fairly general class of parametric functions in the so called “non-regular” type of densities Following Karlin s (1958) technique, we have established the ad-missibility of generalized Bayes estimates and Pitman estimates. Some examples are discussed.     

Estimation of variance components in an unbalanced one-way classification

In the unbalanced one-way random effects model the weighted least squares approach with estimated weights is used to develop a relatively simple estimator of variance components. As the number of classes increases, the proposed estimator is seen not only to be best asymptotically normal but also to be asymptotically equivalent to the maximum likelihood estimator.     

Optimum release time of a software under periodic debugging schedule

In this paper, we study the problem of finding the optimal release time of a software meant to be marketed over a finite time horizon. The optimal design scheme considers reduction of the whole cost, achievement of a specified reliability with some high probability, or a combination of the both. We assume that the software is debugged periodically and the bug detection rates in the pre-release and post-release periods are different. We derive the optimal solution in each case. We also demonstrate the utility of the results through simulations, leading to different types of graphs showing the relationship between the target reliability, specified budget and the optimal number of additional debugging periods.     

Improving the efficiency and robustness of nested sampling using posterior repartitioning

Statistics and Computing - In real-world Bayesian inference applications, prior assumptions regarding the parameters of interest may be unrepresentative of their actual values for a given dataset....     

A measure of robust slope-rotatability for second-order response surface experimental designs

In response surface methodology, rotatability and slope-rotatability are natural and highly desirable properties for second-order regression models. In this paper a measure of robust slope-rotatability for second-order response surface designs with a general correlated error structure is developed and illustrated with different examples for autocorrelated error structure.     

D-Optimal Designs for Covariate Parameters in Block Design Set Up

The problem considered is that of finding D-optimal design for the estimation of covariate parameters and the treatment and block contrasts in a block design set up in the presence of non stochastic controllable covariates, when N = 2(mod 4), N being the total number of observations. It is clear that when N ≠ 0 (mod 4), it is not possible to find designs attaining minimum variance for the estimated covariate parameters. Conditions for D-optimum designs for the estimation of covariate parameters were established when each of the covariates belongs to the interval [?1, 1]. Some constructions of D-optimal design have been provided for symmetric balanced incomplete block design (SBIBD) with parameters b = v, r = k = v ? 1, λ =v ? 2 when k = 2 (mod 4) and b is an odd integer.     

Are social movements truly social? The prosocial and antisocial outcomes of social movements

A growing body of research demonstrates that U.S. politics has become increasingly polarized over the past few decades. In these polarized times, what potential roles might social movements play in bridging divides between, or perhaps further dividing, people across a variety of political and social groups? In this article, we propose a research agenda for social movement studies focused on the prosocial and antisocial outcomes of social movements. Although scholars commonly frame their work on the consequences of social movements in terms of social movements' political, economic, cultural, and biographical outcomes, we suggest a focus on two categories of social movement outcomes (prosocial and antisocial outcomes) that cut across prior theoretical categories, and we show how an emerging body of scholarship has documented such outcomes at micro, meso, and macro levels of analysis. We also consider how emerging scholarship has addressed the sociological question about the conditions under which social movements produce prosocial versus antisocial outcomes. As we argue, attention to prosocial and antisocial outcomes of social movements holds both theoretical implications for social movement research and practical implications for social movements navigating the United States' political and social divides.     

Explaining Asia's “Missing Women”: A New Look at the Data

The fact that millions of females are “missing” in East Asia and South Asia has been attributed to cultural factors that support strong son preference in these countries. A widely disseminated paper by Emily Oster argues that a large part of this phenomenon can be attributed to excessively masculine sex ratios at birth resulting from maternal infection with hepatitis B. If her thesis is true, current policies to address this problem would need to be reframed to include biological factors in addition to cultural factors. The data show, however, that whether or not females “go missing” is determined by the existing sex composition of the family into which they are conceived. Girls with no older sisters have similar chances of survival as boys. However, girls conceived in families that already have a daughter experience steeply higher probabilities of being aborted or of dying in early childhood. This indicates that cultural factors still provide the overwhelming explanation for the “missing” females.     

Antecedents of Innovativeness in Technology‐Based Services (TBS): Peering into the Black Box of Entrepreneurial Orientation

Innovativeness is the organization's capability for developing and introducing innovations. We argue that new combinations and recombinations of prior and new knowledge (by way of creating, assembling, and transforming knowledge) result in innovativeness in an organization. We further assert that a knowledge‐based focus on innovativeness is particularly important for firms that are technology‐based. The majority of studies focusing on innovativeness are in the entrepreneurship arena, and a large number of studies consider innovativeness as one of three dimensions of the entrepreneurial orientation (EO) construct, the other two dimensions being proactiveness and risk‐taking. However, recent research has suggested peering into the black box of EO by disaggregating the EO construct and examining the interrelationships among its three components. Hence, using the knowledge‐based view and drawing from multiple disciplines, our study conceptualizes innovativeness as a criterion variable and investigates the antecedent role of proactiveness and risk‐taking propensity on innovativeness in the context of technology‐based services (TBS). We hypothesize that both proactiveness and risk‐taking propensity exhibit a curvilinear relationship with innovativeness and introduce organizational structure formality as a moderator to further explicate these relationships. Our results show that proactiveness has a curvilinear (inverted U relationship) with innovativeness, and that this relationship is attenuated by organizational structure formality. Additional analysis indicates that in TBS firms, risk‐taking propensity has a positive linear relationship with innovativeness, and this relationship is accentuated by organizational structure formality. Finally, we discuss important conceptual and practical implications of our study and provide suggestions for future research.