Modeling error distributions of growth curve models through Bayesian methods

Bayesian growth curve models with the generalized error distribution

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Bayesian Modeling of Dynamic Software Growth Curve Models

Models for characterizing the reliability of software have traditionally focused on using the observed number of failures or time between observed failures to estimate how defects will be uncovered over time. These models, which are called growth curve (GC) models, are most often used during the latter stages of development, as an aid in determining when the software is ready to be released or ...

the effects of error correction methods on pronunciation accuracy

هدف از انجام این تحقیق مشخص کردن موثرترین متد اصلاح خطا بر روی دقت آهنگ و تاکید تلفظ کلمه در زبان انگلیسی بود. این تحقیق با پیاده کردن چهار متد ارائه اصلاح خطا در چهار گروه، سه گروه آزمایشی و یک گروه تحت کنترل، انجام شد که گروه های فوق الذکر شامل دانشجویان سطح بالای متوسط کتاب اول passages بودند. گروه اول شامل 15، دوم 14، سوم 15 و آخرین 16 دانشجو بودند. دوره مربوطه به مدت 10 هفته ادامه یافت و د...

Bayesian analysis of longitudinal data using growth curve models

Fitting growth curve models in the Bayesian framework.

Growth curve modeling is a popular methodological tool due to its flexibility in simultaneously analyzing both within-person effects (e.g., assessing change over time for one person) and between-person effects (e.g., comparing differences in the change trajectories across people). This paper is a practical exposure to fitting growth curve models in the hierarchical Bayesian framework. First the...