Catalog > Naturwissenschaft > Mathematik > Wahrscheinlichkeitstheorie, Statistik > Simone Malacrida: Esercizi di matematica: inferenza statistica (ePUB)

Simone Malacrida
Esercizi di matematica: inferenza statistica [EPUB ebook]

Support

Cover von Simone Malacrida: Esercizi di matematica: inferenza statistica (ePUB)

In questo libro sono svolti degli esercizi riguardo i seguenti argomenti matematici:
teoria della stima test e verifica di ipotesi
regressione lineare
Sono altresì presentati dei cenni teorici iniziali per fare comprendere lo svolgimento degli esercizi.

€2.99

Dieses Ebook kaufen – und ein weitere GRATIS erhalten!

Sprache Italienisch ● Format EPUB ● ISBN 9781523708970 ● Dateigröße 2.8 MB ● Verlag Simone Malacrida ● Erscheinungsjahr 2016 ● herunterladbar 24 Monate ● Währung EUR ● ID 5068921 ● Kopierschutz ohne

Ebooks vom selben Autor / Herausgeber

Simone Malacrida

4.103 Ebooks in dieser Kategorie

Cover von 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 …

Cover von Resve A. Saleh & Sohaib Majzoub: Fundamentals of Robust Machine Learning

Resve A. Saleh & Sohaib Majzoub: Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science. In recent years, machine learning (ML) has transformed virtually every area of research and technology, be …

Cover von Angelica Lo Duca: Become a Great Data Storyteller

Angelica Lo Duca: Become a Great Data Storyteller

Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica …

Cover von Soraya Sedkaoui: Automated Data Analytics

Soraya Sedkaoui: Automated Data Analytics

The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason; this mental alchemy is the source of genius. A new synergy is emerging between human ingenuit …

Cover von Alex Ely Kossovsky: COMPREHENSIVE SUMMARY OF THE BENFORD'S LAW PHENOMENON, A

Alex Ely Kossovsky: COMPREHENSIVE SUMMARY OF THE BENFORD’S LAW PHENOMENON, A

Numbers are written in our digital language system by conveniently and efficiently utilizing the ten digits 0 to 9 in much the same way as sentences and books are written in the English language syst …

Cover von Tim Wilson & Joe Sutherland: Analytics the Right Way

Tim Wilson & Joe Sutherland: Analytics the Right Way

CLEAR AND CONCISE TECHNIQUES FOR USING ANALYTICS TO DELIVER BUSINESS IMPACT AT ANY ORGANIZATION Organizations have more data at their fingertips than ever, and their ability to put that data to produ …

Cover von 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 …

Cover von 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 …

Cover von János Engländer & Stanislav Volkov: COIN-TURNING, RANDOM WALKS AND INHOMOGENEOUS MARKOV CHAINS

János Engländer & Stanislav Volkov: COIN-TURNING, RANDOM WALKS AND INHOMOGENEOUS MARKOV CHAINS

This research monograph explores new frontiers in Markov chains. Although time-homogeneous Markov chains are well understood, this is not at all the case with time-inhomogeneous ones. The book, after …

Cover von Samuel E. Buttrey & Lyn R. Whitaker: A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

Samuel E. Buttrey & Lyn R. Whitaker: A Data Scientist’s Guide to Acquiring, Cleaning, and Managing Data in R

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time …

nächste Seite >>>