Yahoo Suche Web Suche

Suchergebnisse

  1. Suchergebnisse:
  1. Autoregressive model. In statistics, econometrics, and signal processing, an autoregressive ( AR) model is a representation of a type of random process; as such, it is used to describe certain time-varying processes in nature, economics, behavior, etc. The autoregressive model specifies that the output variable depends linearly on its own ...

  2. Group development. The goal of most research on group development is to learn why and how small groups change over time. To quality of the output produced by a group, the type and frequency of its activities, its cohesiveness, the existence of group conflict . A number of theoretical models have been developed to explain how certain groups ...

  3. Intraklassen-Korrelation. Die Intraklassen-Korrelation ist ein parametrisches statistisches Verfahren zur Quantifizierung der Übereinstimmung ( Interrater-Reliabilität) zwischen mehreren Beurteilern (Ratern) in Bezug auf mehrere Beobachtungsobjekte. Das dazugehörige Maß, der Intraklassen-Korrelationskoeffizient ( IKK oder ICC, Asendorpf und ...

  4. In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. [1] That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable ...

  5. 6. Sept. 2015 · Section 2.2.2.1 from lme4 book. Because each level of sample occurs with one and only one level of batch we say that sample is nested within batch. Some presentations of mixed-effects models, especially those related to multilevel modeling˜[Rasbash et˜al., 2000] or hierarchical linear models˜[Raudenbush and Bryk, 2002], leave the impression that one can only define random effects with ...

  6. In machine learning applications where logistic regression is used for binary classification, the MLE minimises the cross-entropy loss function. Logistic regression is an important machine learning algorithm. The goal is to model the probability of a random variable being 0 or 1 given experimental data.

  7. 1. Sept. 2023 · Multilevel modeling and simulation is a general technique that has many applications in such diverse fields as chemistry, biology, engineering, social sciences and economics. Within these application domains, the study of human mobility and behavior is particularly relevant. Indeed, human mobility is at the basis of important cross-disciplinary ...