A new infinitely divisible discrete distribution with applications to count data modeling

A new discrete distribution involving geometric and discrete Pareto as special cases is introduced. The distribution possesses many interesting properties like decreasing hazard rate, zero vertex uni-modality, over-dispersion, infinite divisibility and compound Poisson representation, which makes the proposed distribution well suited for count data modeling. Other issues including closure property under minima, comparison of its distribution tail with other distributions via actuarial indices are discussed. The method of proportion and maximum likelihood method are presented for parameter estimation. Finally the performance of the proposed distribution over other classical and newly proposed infinitely divisible distributions are discussed.     

Robust Spatial Analysis of Rare Crimes: An Information‐Theoretic Approach

In this paper we describe a semiparametric information‐theoretic framework for modeling the determinants of rare events aggregated at intracity areal units while allowing for various forms of error correlation structures. The approach is applied to an examination of the effects of socioeconomic and demographic macrocharacteristics of communities on the amount of violence they experience. We investigate and find evidence of some instability in these processes across types of violence and level of areal aggregation. However, we also find evidence of a stable predictor—resource deprivation—for all the types of violence analyzed and at both levels of areal aggregation considered. In addition, we find evidence of a spillover effect of a community's resource deprivation on the level of violence its neighboring areas can expect. We discuss our findings in light of their substantive, methodological, and practical implications.     

A new count model generated from mixed Poisson transmuted exponential family with an application to health care data

In this article, a new mixed Poisson distribution is introduced. This new distribution is obtained by utilizing mixing process, with Poisson distribution as mixed distribution and Transmuted Exponential as mixing distribution. Distributional properties like unimodality, moments, over-dispersion, infinite divisibility are studied. Three methods viz. Method of moment, Method of moment and proportion, and Maximum-likelihood method are used for parameter estimation. Further, an actuarial application in context of aggregate claim distribution is presented. Finally, to show the applicability and superiority of proposed model, we discuss count data and count regression modeling and compare with some well established models.     

Opportunity Theory and Agricultural Crime Victimization*

Abstract A growing body of research lends support to opportunity theory and its variants, but has yet to focus systematically on a number of specific offenses and contexts. Typically, the more crimes and contexts to which a theory applies, the broader its scope and range, respectively, and thus generalizability. In this paper, we focus on agricultural crime victimization— including theft of farm equipment, crops, livestock, and chemicals—an offense that opportunity theory appears well‐situated to explain. Specifically, we examine whether key dimensions of the theory are empirically associated with the likelihood of victimization and also examine factors associated with farmers' use of guardianship measures. In contrast to much previous research, we combine multiple individual‐level measures of these dimensions. We conclude that the theory partially accounts for variation in agricultural crime victimization, depending on the type of crime, and that greater work is needed investigating how key dimensions of opportunity theory should be conceptualized and operationalized in rural contexts. The study's implications for theory and practice are discussed.     

Diabetes Vis-a-vis Mind and Body

Health as defined by World Health Organization (WHO) is not onlyfreedom from disease but also normal physical and psychological well being.Metabolic diseases are becoming more common due to our faculty life styleand adjustment to very fast changing environments and demands. Diabetesis one of them. Currently up to 10 percent of Indian's urban population and2 percent of rural population above the age of 15 have diabetes. An earlierWHO report had noted that it is no longer considered a disease of affluence,given the changing life styles and diets of third world communities. Eventhe median age when an urban Indian is likely to develop diabetes is fallingalarmingly, with men and women in their mid 30's and early 40's showingfull blown symptoms of a type diabetes that usually occurs only much later.     

Does Implicit Color Bias Reduce Giving? Learnings from Fundraising Survey Using Implicit Association Test (IAT)

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article explores the relationship between implicit (unconscious) color bias and giving by answering the research...     

S. Khan & S. Siddiqui: Islamic Education in the USA and the Evolution of Muslim Nonprofit Institutions

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Diagnostic plots for identifying max domains of attraction under power normalization

Diagnostic plots for determining the max domains of attraction of power normalized partial maxima are proposed. A test to ascertain the veracity of the claim that data distribution belongs to a max domain of attraction under power normalization is given. The performance of this test is demonstrated using data simulated from many well-known distributions. Furthermore, two real-world datasets are analysed using the proposed procedure.