Mixed Logit Model

2022-12-28

Gamma regression

This article explains about Gamma regression.

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.

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.

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.

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.

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.

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.

2022-12-23

Conditional probability distribution

This article explains about the conditional probability distribution.

2022-12-23

Joint probability distribution

This article explains about a joint probability distribution.

2022-12-23

Marginal probability distribution

This article explains about a marginal probability distribution.

2022-12-23

AIC

This article explains about the AIC.

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.

2022-12-23

Generalized linear mixed model

This article explains about the generalized linear mixed model.

2022-12-23

Generalized linear model

This article explains about the generalized linear model.

2022-12-23

Logistic regression

This article explains about logistic regression.

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.

2022-12-23

Statistical model

This article explains about a statistical model.

2022-12-16

i.i.d.

This article explains about i.i.d.

2022-12-16

Probability distribution with reproductive property

This article explains about the reproductive property of probability distribution.

2022-12-16

Skewness and kurtosis of probability distribution

This article explains about skewness and kurtosis of probability distribution.

2022-12-16

Chi-square distribution

This article explains about the chi-squared distribution.

2022-12-16

F-distribution

This article explains about the F-distribution.

2022-12-16

Gumbel Distribution

The Gumbel distribution is an extreme value distribution used to analyze maximum or minimum values of independent random variables. It has key applications in hydrology, engineering, finance, and machine learning. With its mathematical foundations in probability density function (PDF), cumulative distribution function (CDF), moments, and characteristic functions, the Gumbel distribution allows for precise estimation of location and scale parameters. This article delves into these applications and provides a Python code example for drawing a Gumbel distribution.

2022-12-16

t-distribution

This article explains about the t-distribution.

2022-12-09

Dirichlet distribution

This article explains about Dirichlet distribution.

2022-12-09

Categorical distribution

This article explains about the categorical distribution.

2022-12-09

Multinomial distribution

This article explains about the multinomial distribution.

2022-12-01

Beta distribution

This article explains about beta distribution

2022-12-01

Exponential distribution

This article explains about the exponential distribution.

2022-12-01

Gamma distribution

This article explains about the gamma distribution.

2022-12-01

Normal distribution

This article explains about the normal distribution.

2022-12-01

Bernoulli distribution

This article explains about the Bernoulli distribution.

2022-12-01

Binomial distribution

This article explains about the binomial distribution.

2022-12-01

Geometric distribution

This article explains about the geometric distribution.

2022-12-01

Poisson distribution

This article explains about the Poisson distribution.

2022-11-25

How to determine sample size

This article explains how to determine sample size.

2022-11-25

Standard normal distribution table

This article explains about standard normal distribution table.

2022-11-25

P-Value Hacking

This article explains the p-value hacking.

2022-11-24

F-Test

This article provides an overview of the F-test, a statistical hypothesis test used to examine the equality of variances across multiple groups.

2022-11-22

Central limit theorem

This article explains about the central limit theorem.

2022-11-21

Chi-Square Test

This article explains the Chi-square test, a statistical tool for analyzing associations between categorical variables.

2022-11-21

T-Test

This article explains an overview of t-tests, including Student's t-test, Welch's t-test, and paired t-test.

2022-11-20

p-Value

This article explains p-values in hypothesis testing.

2022-11-20

Z-Test

This article provides an overview of the Z-test, a widely used statistical procedure in data analysis.

2022-11-19

One-Tailed Test and Two-Tailed Test

This article provides an overview of one-tailed and two-tailed hypothesis tests, their differences, and when to use each type.

2022-11-18

α error and β error

This article describes α and β errors.

2022-11-18

Sampling survey

This article explains about the sampling survey.

2022-11-18

68–95–99.7 Rule in Normal Distribution

This article explains the 68-95-99.7 rule in normal distribution, a fundamental concept in statistics.

2022-11-18

Multicolinearity

This article describes about multicollinearity.

2022-11-18

Hypothesis Testing

This article explains the hypothesis testing.

2022-10-09

Probability Distribution

This article covers the fundamental concepts of probability distributions and their role in statistics. It explains random variables, discrete and continuous probability distributions, PMF, PDF, CDF, and their relationship.

2022-04-30

Propensity Score Matching (PSM)

This article explains the concept of propensity score matching (PSM), a statistical technique used to estimate treatment effects in observational studies.

2022-04-29

Regression Discontinuity Design (RDD)

This article explains Regression Discontinuity Design (RDD) for causal inference.

2022-04-19

Difference in Difference (DID)

This article explains Difference-in-Differences (DID) estimation, a widely used for evaluating causal effects.

2022-04-19

Instrumental Variable

This article explains instrumental variables, a statistical tool that helps separate the causal effect of one variable on another.

2022-04-17

Randomized Controlled Trial (RCT)

This article explains the Randomized Controlled Trials (RCTs) and their role in causal inference.

2022-04-15

Causal Effects

This article explains the causal effects and measures in causal inference.

2022-04-13

Correlation and Causation

This article explains the concepts of correlation and causation, and their differences.

2022-04-12

Causal Inference

This article explains the causal inference, its foundational concepts, fundamental techniques and applications across fields.

2022-04-04

Interval Estimation of Population Mean

This article explains the process of estimating the population mean through interval estimation.

Interval Estimation

2022-04-04

Interval Estimation of Population Proportion

This article explains the process of interval estimation for population proportion.

Interval Estimation

2022-04-03

Inferential Statistics

This article explores inferential statistics, which allows researchers to make inferences about a population based on sample data. It covers populations, samples, estimation techniques, hypothesis testing, point and interval estimation, and confidence intervals.

2022-04-02

Coefficient of Determination (R-squared)

This article explains the coefficient of determination, or R-squared, a statistical measure used in regression analysis to evaluate the goodness-of-fit of a model.

2022-04-01

Regression Analysis

This article covers essential concepts of regression analysis in statistics.

2022-03-29

Correlation Coefficient

This article explains the concept of correlation coefficient, including Pearson's and Spearman's rank correlation coefficients, their interpretation, relationship with covariance, limitations, and assumptions.

2022-03-28

Covariance

This article explains the concept of covariance.

2022-03-27

Z-Score

This article explains z-score. It also provides a guide for calculating z-scores.

2022-03-26

Unbiased Variance as Estimator of Population Variance

This article explains the unbiased variance in statistics and its calculation for populations. It also delves into the mathematical foundation for using n-1 in the denominator of the sample variance formula and the tendency of sample variance to underestimate population variance.

2022-03-25

Variance and Standard Deviation

This article explains the concepts of mean deviation, variance, and standard deviation, their formulas, and how to calculate them using Python.

2022-03-24

Range and Quartile

This article introduces the measures of variability in statistics - range and quartiles.

2022-03-23

Median and Mode

This article explains the measures of central tendency, median and mode, in statistics. It describes how to calculate them and when to use them.

2022-03-22

Statistics

This article provides an overview of statistics, including its types and branches, with a focus on descriptive and inferential statistics.

2022-03-22

Mean

This article explains the definitions of the three commonly used means in statistics - arithmetic mean, geometric mean, and harmonic mean.

Differential Equation

Dimensionality Reduction

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