Results 61 to 70 of about 389,511 (337)
Group sequential designs for negative binomial outcomes
, 2018 Count data and recurrent events in clinical trials, such as the number of lesions in magnetic resonance imaging in multiple sclerosis, the number of relapses in multiple sclerosis, the number of hospitalizations in heart failure, and the number of ...
Friede, Tim +3 more
core +1 more source
Non-classical properties and algebraic characteristics of negative binomial states in quantized radiation fields [PDF]
, 1999 We study the nonclassical properties and algebraic characteristics of the negative binomial states introduced by Barnett recently. The ladder operator formalism and displacement operator formalism of the negative binomial states are found and the algebra
Pan, Shao-Hua +2 more
core +2 more sources
Arthritis Care &Research, Accepted Article.Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg +26 more
wiley +1 more source
Revista Colombiana de Estadística, 2008 The negative binomial distribution is associated to the series obtained by taking derivatives of the logarithmic series. Conversely, the logarithmic series distribution is associated to the series found by integrating the series associated to the ...
MAURICIO SADINLE
doaj
Axioms, 2023 In the statistical literature, one of the most important subjects that is commonly used is stress–strength reliability, which is defined as δ ...
Ibrahim Elbatal +5 more
doaj +1 more source
On the Convergence of Binomial to Poisson Distributions [PDF]
The Annals of Mathematical Statistics, 1971 Following the work of Poisson (1837), there has been considerable practical and theoretical interest in how well the Poisson distribution approximates the binomial distribution. The approximation, which was initially suggested by a limit theorem (see (1) below), has been shown in numerical examples to be very good for certain binomial parameters within
Simons, Gordon, Johnson, N. L.
openaire +3 more sources
Arthritis Care &Research, Accepted Article.Objective We aimed to test the efficacy of personalized treatment of older Veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABC) as compared with usual care (UC). Methods Two hundred ninety‐nine Veterans age 65‐89 with CLBP from 3 VA medical centers underwent baseline testing, randomization to ABC or UC and 12 months follow ...
Debra K. Weiner +9 more
wiley +1 more source
PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF
Media Statistika, 2011 Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
doaj +1 more source
Testing Poisson Binomial Distributions [PDF]
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014 A Poisson Binomial distribution over $n$ variables is the distribution of the sum of $n$ independent Bernoullis. We provide a sample near-optimal algorithm for testing whether a distribution $P$ supported on $\{0,...,n\}$ to which we have sample access is a Poisson Binomial distribution, or far from all Poisson Binomial distributions.
Acharya, Jayadev +1 more
openaire +5 more sources
Stein factors for negative binomial approximation in Wasserstein distance [PDF]
, 2015 The paper gives the bounds on the solutions to a Stein equation for the negative binomial distribution that are needed for approximation in terms of the Wasserstein metric.
Barbour, A. D., Gan, H. L., Xia, A.
core +1 more source