Statistical Model
2022-12-29
Mixed Logit Model
This article explains mixed logit models, highlighting their ability to capture unobserved heterogeneity and correlations among alternatives.
Statistics
Statistical Model
Discrete Choice Model
R
2022-12-28
Gamma regression
This article explains about Gamma regression.
Statistics
Statistical Model
Python
2022-12-28
Nested Logit Model
This article delves into the nested logit model, a discrete choice model that addresses the limitations of the multinomial logit model by accounting for unobserved similarities among decision alternatives. Explore its theoretical foundations, understand the concepts of inclusive value and dissimilarity parameters, and learn how to estimate a nested logit model using R.
Statistics
Statistical Model
Discrete Choice Model
R
2022-12-27
Multinomial Logit Model
This article delves into the Multinomial Logit Model (MNL), a popular statistical model for understanding and predicting individual choices among a finite set of alternatives. Explore the mathematical foundations, key assumptions, limitations, and practical implementation of the MNL using the R programming language.
Statistics
Statistical Model
Discrete Choice Model
R
2022-12-27
Ordered Logit Model
This article dives into the Ordered Logit Model, a statistical method for modeling ordinal dependent variables. Explore the key assumptions and requirements of the model, including the proportional odds assumption, ordinal nature of the dependent variable, independence of observations, and linearity of logits.
Statistics
Statistical Model
Discrete Choice Model
R
2022-12-26
Binary Logit Model
This article delves into the binary logit model, a statistical tool for predicting binary outcomes based on predictor variables. We explore the logistic function, the foundation of the binary logit model, and discuss its key properties. We then examine model interpretation using odds ratios, hypothesis testing, and confidence intervals. Finally, we provide a practical example of fitting a binary logit model using R, including data preparation, model fitting, diagnostics, and interpretation of results.
Statistics
Statistical Model
Discrete Choice Model
R
2022-12-26
Estimation, Interpretation, and Evaluation of Logit Model
This article provides a comprehensive guide on logit models, covering the estimation of logit coefficients using maximum likelihood estimation, interpretation of coefficients as odds ratios, and model evaluation through goodness-of-fit measures. Additionally, the article offers a practical demonstration using R for enhanced understanding.
Statistics
Statistical Model
Discrete Choice Model
R
2022-12-26
What is Logit Model
This article delves into the world of logit models, explaining the fundamental concepts, types, and applications across various disciplines. Explore the advantages and limitations of logit models, understand the role of utility functions.
Statistics
Statistical Model
Discrete Choice Model
2022-12-23
AIC
This article explains about the AIC.
Statistics
Statistical Model
Python
2022-12-23
Fixed Effect vs. Random Effect
This article provides a comprehensive overview of fixed effect and random effect, two statistical techniques used in panel data analysis to identify relationships between variables. It discusses the definitions, examples, advantages, and disadvantages of using each technique, as well as the key differences between them. The article also covers how to choose between fixed effect and random effect models and the model selection criteria that can help researchers make an informed decision.
Statistics
Statistical Model
2022-12-23
Generalized linear mixed model
This article explains about the generalized linear mixed model.
Statistics
Statistical Model
R
2022-12-23
Generalized linear model
This article explains about the generalized linear model.
Statistics
Statistical Model
Python
2022-12-23
Logistic regression
This article explains about logistic regression.
Statistics
Statistical Model
Python
2022-12-23
Panel Data Analysis
This article provides an introduction to panel data analysis, a statistical technique used to analyze data collected over time from multiple individuals, groups, or entities. The article explains the definition of panel data, advantages of using it over cross-sectional and time-series data, and different types of panel data models. Additionally, it discusses tests for panel data model specification and techniques for panel data regression analysis with continuous, binary, and count dependent variables.
Statistics
Statistical Model
2022-12-23
Statistical model
This article explains about a statistical model.
Statistics
Statistical Model
Python
2022-11-18
Multicolinearity
This article describes about multicollinearity.
Statistics
Statistical Model
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