gasperoni francesca (33 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science. This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Paperback. Condizione: Brand New. 315 pages. 9.26x6.11x9.25 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Condizione: NEW.

Paperback. Condizione: new. Paperback. This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science. This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science.

Paperback. Condizione: new. Paperback. This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science. This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: New.

Condizione: New. pp. 271.

Paperback. Condizione: Brand New. 280 pages. Italian language. 9.25x6.10x0.59 inches. In Stock.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Per ottimizzare la fruizione degli argomenti sviluppati, e per accompagnare il lettore nello studio, il testo è organizzato in capitoli, ciascuno dei quali composto, a sua volta, da una prima parte introduttiva, in cui vengono richiamate le basi teoriche dell'inferenza statistica, e da una seconda parte di esercizi, corredati di un esaustivo svolgimento su carta e, se opportuno, su software.

Taschenbuch. Condizione: Neu. Eserciziario di Statistica Inferenziale | Francesca Gasperoni (u. a.) | Taschenbuch | ix | Italienisch | 2020 | Springer | EAN 9788847039940 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condizione: Gut. Zustand: Gut | Seiten: 284 | Sprache: Italienisch | Produktart: Bücher | Questo testo nasce con l'obiettivo di aiutare lo studente nella transizione fra i concetti teorici e metodologici dell'inferenza statistica e la loro implementazione al computer. La prima parte del testo è infatti focalizzata principalmente su esercizi da risolvere con carta e penna, in modo da far applicare nozioni derivanti da lemmi e teoremi; mentre la seconda parte del testo è costituita da laboratori, in cui si propone sia l'implementazione manuale di algoritmi, sia l'apprendimento di built-in tools per un'analisi efficiente di dataset derivanti da problemi reali.Per ottimizzare la fruizione degli argomenti sviluppati, e per accompagnare il lettore nello studio, il testo è organizzato in capitoli, ciascuno dei quali composto, a sua volta, da una prima parte introduttiva, in cui vengono richiamate le basi teoriche dell'inferenza statistica, e da una seconda parte di esercizi, corredati di un esaustivo svolgimento su carta e, se opportuno, su software.Il testo è rivolto agli studenti dei corsi di laurea di primo livello di Statistica, Matematica, Ingegneria e per i corsi di secondo livello in Data Science.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science. 308 pp. Englisch.

Taschenbuch. Condizione: Neu. Exercise Book of Statistical Inference | Francesca Gasperoni (u. a.) | Taschenbuch | UNITEXT | xi | Englisch | 2025 | Springer | EAN 9783031866692 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Per ottimizzare la fruizione degli argomenti sviluppati, e per accompagnare il lettore nello studio, il testo è organizzato in capitoli, ciascuno dei quali composto, a sua volta, da una prima parte introduttiva, in cui vengono richiamate le basi teoriche dell'inferenza statistica, e da una seconda parte di esercizi, corredati di un esaustivo svolgimento su carta e, se opportuno, su software. 284 pp. Italienisch.