Catalog > Sains > Matematika > Teori Probabilitas, Statistik > Stefania Mignani & Angela Montanari: Analisi Statistica Multivariata (ePUB)

Stefania Mignani & Angela Montanari
Analisi Statistica Multivariata [EPUB ebook]

Dukung

Sampul Stefania Mignani & Angela Montanari: Analisi Statistica Multivariata (ePUB)

Il volume raccoglie gli appunti delle lezioni di Analisi Statistica multivariata ed è il risultato dell'impegno comune delle autrici. Nella suddivisione del lavoro i capitoli primo, secondo e quinto sono di Stefania Mignani, i capitoli terzo, quarto, sesto e settimo di Angela Montanari. Il paragrafo 7.4 è di Gabriele Soffritti.

€22.00

Beli ebook ini dan dapatkan 1 lagi GRATIS!

Bahasa Itali ● Format EPUB ● ISBN 9788835861935 ● Ukuran file 44.7 MB ● Penerbit Società Editrice Esculapio ● Diterbitkan 2020 ● Diunduh 24 bulan ● Mata uang EUR ● ID 7525108 ● Perlindungan salinan Adobe DRM

Membutuhkan pembaca ebook yang mampu DRM

Ebook lainnya dari penulis yang sama / Editor

Stefania Mignani Angela Montanari

4,017 Ebooks dalam kategori ini

Sampul Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Document from the year 2020 in the subject Mathematics – Statistics, , course: Economics, Statistic For Business, language: Albanian, abstract: Në përdorim të zakonshëm, njerëzit mendojnë për statist …

Sampul Deborah J. Rumsey: Probability For Dummies

Deborah J. Rumsey: Probability For Dummies

Learn how to calculate your chances with easy-to-understand explanations of probability Probability—the likelihood or chance of an event occurring—is an important branch of mathematics used in busine …

Sampul Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Corresponding to the link of Itô’s stochastic differential equations (SDEs) and linear parabolic equations, distribution dependent SDEs (DDSDEs) characterize nonlinear Fokker–Planck equations. This t …

Sampul N. W. Galwey: The False Discovery Rate

N. W. Galwey: The False Discovery Rate

The False Discovery Rate An essential tool for statisticians and data scientists seeking to interpret the vast troves of data that increasingly power our world First developed in the 1990s, the False …

Sampul Field Cady: The Data Science Handbook

Field Cady: The Data Science Handbook

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical …

Sampul Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with undergraduate calculus and want to have an easy access to …

Sampul Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statis …

Sampul Alan R. Simon: Data Lakes For Dummies

Alan R. Simon: Data Lakes For Dummies

Take a dive into data lakes ‘Data lakes’ is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a …

Sampul James R. Carpenter & Jonathan W. Bartlett: Multiple Imputation and its Application

James R. Carpenter & Jonathan W. Bartlett: Multiple Imputation and its Application

Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation a …

Sampul X. Lorca: Tree-based Graph Partitioning Constraint

X. Lorca: Tree-based Graph Partitioning Constraint

Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission planning and the routing problems occurring in logistics perfec …

Halaman selanjutnya >>>