Most methods in statistics are focused on the analysis of mean differences. Mean–difference questions, however, represent only a narrow range...
Historically, it has been easier to describe differences between groups of people, rather than describe the dynamic ways that people...
Stochastic differential equation (SDE) models are a promising method for modeling intraindividual change and variability. This method uses structural equation...
Intraindividual measures, such as intraindividual standard deviation or coefficient of variation, are incomplete representations variability. Studying variability can be made...
Daily data from the NDHWB (n = 783; age range 37–90) were analyzed to produce ‘dynamic characteristic’ estimates of stress...
This chapter introduces one approach to describing constructs that consist of easily reversed, short–term changes — data that is often...
Time is unlike any other variable. This chapter considers the difference in perspectives offered by discrete-time and continuous-time approached to...
Using embedded and observed data matrices, a statistical approach to differential equation modeling is presented. This approach appears robust to...
This article proposes a new method for estimating derivatives on calculating the Empirical Bayes estimates of derivatives from a mixed...
This article describes a model based on a reservoir. This model might be useful for constructs (e.g., stress), where events...