feat: new article

DiogoRibeiro7 · DiogoRibeiro7 · commit 4c34b4e311c0 · 2024-10-10T23:28:48.000+01:00
diff --git a/_posts/-_ideas/2030-01-01-Article Title Ideas for Statistical Tests.md b/_posts/-_ideas/2030-01-01-Article Title Ideas for Statistical Tests.md
@@ -80,11 +80,3 @@ tags: []
 ### 18. **"G-Test vs. Chi-Square Test: Modern Alternatives for Testing Categorical Data"**
    - A comparison between the G-test and Chi-square test for categorical data.
    - Use cases in genetic studies, market research, and large datasets.
-
-### 19. **"Multivariate Analysis of Variance (MANOVA) vs. ANOVA: When to Analyze Multiple Dependent Variables"**
-   - Differences between MANOVA and ANOVA.
-   - Use cases in experimental designs with multiple outcome variables, such as clinical trials.
-
-### 20. **"Wald Test: Hypothesis Testing in Regression Analysis"**
-   - Overview of the Wald test for hypothesis testing in regression models.
-   - Applications in logistic regression, Poisson regression, and complex models.
diff --git a/_posts/2021-04-30-big_data_climate_change_mitigation.md b/_posts/2021-04-30-big_data_climate_change_mitigation.md
@@ -1,9 +1,7 @@
 ---
 author_profile: false
 categories:
-- Climate Change
 - Data Science
-- Environmental Science
 classes: wide
 date: '2021-04-30'
 excerpt: Big data is revolutionizing climate science, enabling more accurate predictions and helping formulate effective mitigation strategies.
diff --git a/_posts/2021-05-10-estimating_uncertainty_neural_networks_using_monte_carlo_dropout.md b/_posts/2021-05-10-estimating_uncertainty_neural_networks_using_monte_carlo_dropout.md
@@ -2,7 +2,6 @@
 author_profile: false
 categories:
 - Neural Networks
-- Uncertainty Estimation
 classes: wide
 date: '2021-05-10'
 excerpt: This article discusses Monte Carlo dropout and how it is used to estimate uncertainty in multi-class neural network classification, covering methods such as entropy, variance, and predictive probabilities.
diff --git a/_posts/2021-05-12-understanding_heart_rate_variability_through_lens_coefficient_variation_health_monitoring.md b/_posts/2021-05-12-understanding_heart_rate_variability_through_lens_coefficient_variation_health_monitoring.md
@@ -2,7 +2,6 @@
 author_profile: false
 categories:
 - Health Monitoring
-- Cardiovascular Health
 classes: wide
 date: '2021-05-12'
 excerpt: Discover the significance of heart rate variability (HRV) and how the coefficient of variation (CV) provides a more nuanced view of cardiovascular health.
diff --git a/_posts/2021-05-26-kernel_math.md b/_posts/2021-05-26-kernel_math.md
@@ -1,8 +1,6 @@
 ---
 author_profile: false
 categories:
-- Data Science
-- Machine Learning
 - Statistics
 classes: wide
 date: '2021-05-26'
diff --git a/_posts/2021-07-26-regression_tasks.md b/_posts/2021-07-26-regression_tasks.md
@@ -2,7 +2,6 @@
 author_profile: false
 categories:
 - Machine Learning
-- Data Science
 classes: wide
 date: '2021-07-26'
 excerpt: Regression tasks are at the heart of machine learning. This guide explores methods like Linear Regression, Principal Component Regression, Gaussian Process Regression, and Support Vector Regression, with insights on when to use each.
diff --git a/_posts/2021-09-24-crime_analysis.md b/_posts/2021-09-24-crime_analysis.md
@@ -2,7 +2,6 @@
 author_profile: false
 categories:
 - Data Science
-- Crime Analysis
 classes: wide
 date: '2021-09-24'
 excerpt: This article explores the use of K-means clustering in crime analysis, including practical implementation, case studies, and future directions.
diff --git a/_posts/2021-12-24-linear_programming.md b/_posts/2021-12-24-linear_programming.md
@@ -1,7 +1,6 @@
 ---
 author_profile: false
 categories:
-- Computer Science
 - Operations Research
 classes: wide
 date: '2021-12-24'
diff --git a/_posts/2022-01-02-OLS.md b/_posts/2022-01-02-OLS.md
@@ -2,7 +2,6 @@
 author_profile: false
 categories:
 - Statistics
-- Econometrics
 classes: wide
 date: '2022-01-02'
 excerpt: A deep dive into the relationship between OLS and Theil-Sen estimators, revealing their connection through weighted averages and robust median-based slopes.
diff --git a/_posts/2022-03-14-levenes_test_vs._bartletts_test_checking_homogeneity_variances.md b/_posts/2022-03-14-levenes_test_vs._bartletts_test_checking_homogeneity_variances.md
@@ -1,8 +1,6 @@
 ---
 author_profile: false
 categories:
-- Statistics
-- Data Science
 - Hypothesis Testing
 classes: wide
 date: '2022-03-14'
diff --git a/_posts/2022-03-23-degrees_freedom.md b/_posts/2022-03-23-degrees_freedom.md
@@ -2,9 +2,6 @@
 author_profile: false
 categories:
 - Machine Learning
-- Data Science
-- Artificial Intelligence
-- Model Monitoring
 classes: wide
 date: '2022-03-23'
 header:
diff --git a/_posts/2022-08-14-wald_test_hypothesis_testing_regression_analysis.md b/_posts/2022-08-14-wald_test_hypothesis_testing_regression_analysis.md
@@ -31,7 +31,6 @@ tags:
 title: 'Wald Test: Hypothesis Testing in Regression Analysis'
 ---
 
-
 The Wald test is a widely used statistical tool for hypothesis testing in regression analysis. It plays a crucial role in determining whether the coefficients of predictor variables in a regression model are statistically significant. The test is applicable across various types of regression models, including **logistic regression**, **Poisson regression**, and more complex statistical models. Understanding how to implement and interpret the Wald test is essential for statisticians and researchers dealing with data modeling and regression analysis. 
 
 This article delves into the theory behind the Wald test, its mathematical formulation, and practical applications in different types of regression models. We'll also explore how the Wald test compares to other hypothesis testing methods, such as the **likelihood ratio test** and the **score test**, to give you a well-rounded understanding of its utility.
diff --git a/_posts/2022-09-27-entropy_information_theory.md b/_posts/2022-09-27-entropy_information_theory.md
@@ -1,7 +1,6 @@
 ---
 author_profile: false
 categories:
-- Physics
 - Information Theory
 classes: wide
 date: '2022-09-27'
diff --git a/_posts/2023-05-05-Mean_Time_Between_Failures.md b/_posts/2023-05-05-Mean_Time_Between_Failures.md
@@ -1,7 +1,6 @@
 ---
 author_profile: false
 categories:
-- Reliability Engineering
 - Predictive Maintenance
 classes: wide
 date: '2023-05-05'
diff --git a/_posts/2023-08-12-guassian_processes.md b/_posts/2023-08-12-guassian_processes.md
@@ -2,7 +2,6 @@
 author_profile: false
 categories:
 - Machine Learning
-- Time Series
 classes: wide
 date: '2023-08-12'
 excerpt: Dive into Gaussian Processes for time-series analysis using Python, combining flexible modeling with Bayesian inference for trends, seasonality, and noise.
diff --git a/_posts/2023-08-21-large_languague_models.md b/_posts/2023-08-21-large_languague_models.md
@@ -1,7 +1,6 @@
 ---
 author_profile: false
 categories:
-- Artificial Intelligence
 - Machine Learning
 classes: wide
 date: '2023-08-21'
diff --git a/_posts/2023-08-23-multivariate_analysis_variance_vs_anova.md b/_posts/2023-08-23-multivariate_analysis_variance_vs_anova.md
