Cambridge University Press, 2010 (Supplementary text)
Libro adottato a Trieste, a.a. 2026/2027 · 3 canali
«Cambridge University Press, 2010 (Supplementary text)» è adottato per Statistical Methods dal prof. Leonardo Egidi (Geophysics and Geodata – sede di Trieste, Mathematics – sede di Trieste – Trieste); per Statistical Methods (Geophysics and Geodata – sede di Trieste – Trieste).
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Come lo indica il docente: Cambridge University Press, 2010 (Supplementary text)
Statistical Methods – docente non ancora indicato (canale 2)Geophysics and Geodata – sede di Trieste · Laurea magistrale (LM-79) · esame facoltativo · 9 CFU
Statistical Methods – Prof. Leonardo Egidi (canale unico)Mathematics – sede di Trieste · Laurea magistrale (LM-40) · esame facoltativo · Advanced Mathematics · 9 CFU
Additional material and information will be available at the course web page.
Argomenti del programma: 1. Random variables Review of some basic concepts of probability; the multivariate normal distribution; central limit theory and law of large numbers; statistics and their properties. Statistical models and inference. Examples of statistical models; the problems of statistical inference. Basic tools for estimation and testing statistical hypotheses. Approaches to statistical inference and design issues (16 hours) 2.
Additional material and information will be available at the course web page.
Argomenti del programma: 1. Random variables Review of some basic concepts of probability; the multivariate normal distribution; central limit theory and law of large numbers; statistics and their properties. Statistical models and inference. Examples of statistical models; the problems of statistical inference. Basic tools for estimation and testing statistical hypotheses. Approaches to statistical inference and design issues (16 hours) 2.
Additional material and information will be available at the course web page.
Argomenti del programma: 1. Random variables Review of some basic concepts of probability; the multivariate normal distribution; central limit theory and law of large numbers; statistics and their properties. Statistical models and inference. Examples of statistical models; the problems of statistical inference. Basic tools for estimation and testing statistical hypotheses. Approaches to statistical inference and design issues (16 hours) 2.
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