Cost estimation in software engineering

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Related lectures (32)

Optimal Estimation and Bias in Statistics

Delves into optimal estimation, bias role in finite samples, and the delicate tradeoff between bias and variance in statistical estimation.

Bayesian Estimation

Covers the fundamentals of Bayesian estimation, focusing on the application of Bayes' Theorem in scalar estimation.

Survival Analysis: Cox Proportional Hazards Model

Introduces the Cox proportional hazards model for survival analysis, covering estimation, assessment of assumptions, and interpretation using residuals.

Eigenvalues and Stability

Explores eigenvalues, stability, eigenvectors, and error estimation techniques in linear systems.

Discrete Panel Data

Explores discrete panel data, covering static and dynamic models with panel effects and their practical implications.

Basic Principles of Point Estimation

Explores the Method of Moments, Bias-Variance tradeoff, Consistency, Plug-In Principle, and Likelihood Principle in point estimation.

Spectral Estimation in Time Series

Covers spectral estimation in time series analysis, including imaging kernels, tapering methods, and AR models.

Air-water exchange

Explores mass transfer at the air-water interface, modeling air-water exchange as a first-order removal process.

Linear Regression: Estimation and Prediction

Covers the basics of linear regression, focusing on estimation and prediction.

Estimation Methods: Point Estimate and Maximum Likelihood

Discusses different estimators and how to choose between them, emphasizing calculation and properties.

Boolean Hidden Matching Problem

Covers the Boolean Hidden Matching Problem and its applications to lower bounds.

Time Series: Parametric Estimation

Covers parametric estimation, seasonal modeling, Box-Jenkins methods, variance calculations, and dependence measures in time series analysis.

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