Lectures related to Hydraulic Installations: Basic Data

Discusses parameter estimation, including checks, quality, distribution, and statistical properties of estimates.

Statistics for Data Science: Introduction to Statistical Methods

Covers the fundamental concepts of statistics and their application in data science.

Graphical Models: Representing Probabilistic Distributions

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Water Resources Management: Basic Notions

Provides an in-depth exploration of water resources management, covering economic evaluations, risk assessments, hydrological concepts, and the impact of human activities on water systems.

Understanding Statistics & Experimental Design

Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.

Estimation Methods in Probability and Statistics

Discusses estimation methods in probability and statistics, focusing on maximum likelihood estimation and confidence intervals.

Birth Month Impact on Athlete Success

Investigates how birth month influences athlete success, analyzing Japanese athletes' dataset to explore trends in birthdates and occupations.

Experimental Research Design: T-Test Analysis

Explores digital lesson development, experimental research, t-tests, ANOVA, and statistical analysis using R.

Linear Combinations: Moment-Generating Functions

Explores moment-generating functions, linear combinations, and normality of random variables.

Understanding Statistics & Experimental Design

Explores t-tests, confidence intervals, ANOVA, and hypothesis testing in statistics, emphasizing the importance of avoiding false discoveries and understanding the logic behind statistical tests.

Statistics essentials: ANOVA

Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.

Hypothesis Testing: State of Nature

Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.

Experimental Design and Analysis

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Statistics: Hypothesis Testing & Confidence Intervals

Covers hypothesis testing, confidence intervals, data distributions, and statistical significance in data analysis.

Probability Distributions in Environmental Studies Log in to Mediaspace to watch this video

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Air Pollution Data Analysis Log in to Mediaspace to watch this video

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

Air Pollution Analysis Log in to Mediaspace to watch this video

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

Water Protection: Surface and Groundwater Log in to Mediaspace to watch this video

Explores the legal and practical aspects of safeguarding surface and groundwater, emphasizing sustainable water management practices.

Statistical Analysis of Network Data: Noisy Sampled Networks Log in to Mediaspace to watch this video

Explores statistical analysis of network data, covering noisy sampled networks, likelihood estimation, multilayer networks, and directed networks.

Statistical Analysis: Boxplot and Normal Distribution Log in to Mediaspace to watch this video

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.