Consolidated final exam MCQ and written problems plus midterm (regular and makeup): factorials, ANOVA, BIBD, Latin designs, randomization tests, power, and causal inference.
Consolidated final-review problem set: polynomial-passing filters, MA(2) ACVF/ACF, symmetric filters, ARMA prediction, seasonality and differencing, smoothers.
A compact final-exam review of the definitions, interpretation language, and modelling ideas that must be known even when the formula sheet is provided.
A 2³ factorial experiment measuring how prompt strategy, contextual examples, and model reasoning capability affect LLM instruction-following compliance.
Midterm 1–2 sample questions with embedded YouTube deep links; later sections unchanged. Hidden from the home list—use the direct URL.
This is the essay of my personal research regarding the structural linear dependencies between different parts of handwritten digits. We will be exploring them via PCA, CCA and Linear Regression together.
This article contains the basic theory, design principles and implementation methods of data visualization. Currently under improvement.
Everything about Multivariable Statistics Methods and Applications.
Predict the influence factors by using MLR, an exploration of MLR usage by Zixiang Zhang in 2024.