Results 121 to 130 of about 126,303 (310)
Modified Bivariate Poisson-Lindley Model: Properties and Applications in Soccer
International Journal of Computer Science in SportThis paper presents the bivariate Poisson-new XLindley distribution (BPNXLD), which may be used to represent dependent and over-dispersed countdata.
Haddari Allaeddine +2 more
doaj +1 more source
Cambanis-type Bivariate Uniform Distribution: Properties and Moment Estimation
Computational Journal of Mathematical and Statistical SciencesThe families of distributions are crucial in statistical modeling, offering a versatile foundation for a variety of applications. The development of bivariate distributions with specific marginal distributions and correlation coefficients is of ...
Rohan Dilip Koshti, Kirtee Kiran Kamalja
doaj +1 more source
SAS Macro BDM for Fitting the Dale Regression Model to Bivariate Ordinal Response Data
A SAS macro for fitting an extension of the Dale (1986) regression model to bivariate ordinal data is provided. The macro is described in detail and examples from Dale (1986) and McMillan, Hanson, Bedrick, and Lapham (2005) are discussed.
Garnett McMillan, Timothy Hanson
core
Forecasting Volatility in Financial Markets Using a Bivariate Stochastic Volatility Model with Surprising Information [PDF]
Most asset returns exhibit high volatility and its persistence. Heuristically, this paper focuses on the role of surprising information in high volatility processes and indicates that dismissing surprising information may lead to considerable loss in ...
Beum-Jo Park
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Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale
Journal of Consumer Behaviour, EarlyView.ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impair decision‐making, and generate negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley +1 more source
Goodness-of-Fit Test for the Bivariate Negative Binomial Distribution
AxiomsWhen modeling real-world data, we face the challenge of determining which probability distribution best represents the data. To address this intricate problem, we rely on goodness-of-fit tests.
Francisco Novoa-Muñoz +1 more
doaj +1 more source
On a Distribution Arising in the Context of Comparative Model Performance Evaluation Problems
The paper deals with a distribution that arises as the distribution of a sample statistic used to compare the predictive ability of two competing linear models.
Panaretos, John +2 more
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Chronic Diseases and Translational Medicine, EarlyView.ABSTRACT Background Cardiovascular disease (CVD) is the leading cause of mortality, posing a major challenge to its rapidly aging demographic. Early identification of individuals at high risk for future cardiovascular events is paramount for implementing timely preventative strategies.
Vansh Maheshwari +2 more
wiley +1 more source
MathematicsThis paper introduces a novel bivariate distribution, referred to as the Bivariate Burr XII Inverse Weibull (BBXII-IW) distribution, constructed via the Marshall–Olkin approach from the univariate Burr XII Inverse Weibull (BXII-IW) distribution.
Ammar M. Sarhan +3 more
doaj +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Canadian Journal of Statistics, EarlyView.Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source