منابع مشابه
Modeling and Simulation of Count Data
Count data, or number of events per time interval, are discrete data arising from repeated time to event observations. Their mean count, or piecewise constant event rate, can be evaluated by discrete probability distributions from the Poisson model family. Clinical trial data characterization often involves population count analysis. This tutorial presents the basics and diagnostics of count mo...
متن کاملExample: Modeling Count Data
We illustrate models for discrete data using the horseshoe crab dataset introduced in Sec. 1.5.1. The response variable for the n = 173 mating female crabs is y = number of " satellites " — male crabs that group around the female and may fertilize her eggs. Explanatory variables are the female crab's color, spine condition, weight, and carapace width. To illustrate the Poisson, negative binomia...
متن کاملModeling Count Data
Count models are a subset of discrete response regression models. Count data are distributed as non-negative integers, are intrinsically heteroskedastic, right skewed, and have a variance that increases with the mean. Example count data include such situations as length of hospital stay, the number of a certain species of fish per defined area in the ocean, the number of lights displayed by fir...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
Modeling zero-inflated count data with glmmTMB
Ecological phenomena are often measured in the form of count data. These data can be analyzed using generalized linear mixed models (GLMMs) when observations are correlated in ways that require random effects. However, count data are often zero-inflated, containing more zeros than would be expected from the standard error distributions used in GLMMs, e.g., parasite counts may be exactly zero fo...
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ژورنال
عنوان ژورنال: CPT: Pharmacometrics & Systems Pharmacology
سال: 2014
ISSN: 2163-8306
DOI: 10.1038/psp.2014.27