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Interval estimation
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Related lectures (32)
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Estimating Parameters: Confidence Intervals
Explores estimating parameters through confidence intervals in linear regression and statistics.
Fourier Series: Understanding Periodicity and Coefficients
Explores t-periodic functions in Fourier series, discussing intervals, propositions, and variable changes for coefficient calculation and series convergence.
Confidence Intervals: Student, Asymptotic Wald
Covers confidence intervals for Gaussian means, Student distribution, and Wald confidence intervals for maximum likelihood estimators.
Applied Biostatistics: Bivariate Data Analysis
Explores bivariate data analysis in applied biostatistics, covering correlation, regression, model selection, and diagnostics.
Hypothesis Testing: Wilks' Theorem and P-Value
Explores hypothesis testing, Wilks' theorem, p-values, confidence intervals, and pivotal quantities.
Properties of Continuous Functions
Covers the properties of continuous functions and explores inverse and injective functions with examples.
Maximal Internal Containing Interval
Discusses the maximal internal containing interval and its properties and solutions.
Conditional queries: An Introduction to GIS
Covers conditional queries and joins in GIS, explaining operators and attribute selection based on conditions.
Stochastic Simulation: Computation and Estimation
Covers computation and estimation in stochastic simulation, focusing on generating iid replicas and optimal importance sampling.
Confidence Intervals: Gaussian Estimation
Explores confidence intervals, Gaussian estimation, Cramér-Rao inequality, and Maximum Likelihood Estimators.
