Modeling intraindividual variability of six parsons by dynamic factor analysis:

Differential Structural Equation Modeling of Intraindividual Variability

Recent advances in modeling and analysis have enabled statistical tests of dynamical systems based theories for behavioral phenomena. The use of statistical models to test proposed dynamical or self–regulating explanations of intraindividual variability has the potential to lead to new and more tightly focused understandings of cognitive, developmental and social systems. This chapter provides ...

Intraindividual Variability 1 Running head: INTRAINDIVIDUAL VARIABILITY Describing Intraindividual Variability at Multiple Time Scales Using Derivative Estimates

The study of intraindividual variability is central to the study of individuals in psychology. Previous research has related the variance observed in repeated measurements (time series) of individuals to trait–like measures that are logically related. The use of intraindividual measures such as intraindividual standard deviation or the coefficient of variation are likely to be incomplete repres...

Issues in Intraindividual Variability 1 Running Head: Issues in Intraindividual Variability

Dynamic Analysis of Multi-Directional Functionally Graded Panels and Comparative Modeling by ANN

In this paper dynamic analysis of multi-directional functionally graded panel is studied using a semi-analytical numerical method entitled the state-space based differential method (SSDQM) and comparative behavior modeling by artificial neural network (ANN) for different parameters. A semi-analytical approach which makes use the three-dimensional elastic theory and assuming the material propert...

modeling 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 ...