V merz (99 resultados)

Softcover. Condición: Gut. Tb, durchgehend zeichnerisch, und mit Farb- und s/w-Fotos illustriert, 154/2 Seiten, Namensangabe auf Hinterseite Vorderdeckel, sonst guter Zustand. (intern: Sachbuch). M. Merz (ilustrador).

Softcover. Condición: Gut. Tb, durchgängig s/w-illustriert, Tapellen, Grafiken, ect., 282/4 Seiten, Namensangabe auf Hinterseite Vorderdeckel, innen stellenweise mit Textan- und unterstreichungen, Textmarkierungen, Buch im allgemeinen im guten Zustand. (intern: Sachbuch). M. Merz (ilustrador).

Broschiert. Condición: Gut. 63 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.). Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Deutsch Gewicht in Gramm: 100.…

Hln. 109 S. guter Zustand.

Softcover-Großformat. Condición: Gut. 3. Auflage.. 63 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); leichte altersbedingte Anbräunung des Papiers; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Einbandkanten sind leicht bestoßen. Sprache: Deutsch Gewicht in Gramm: 280.…

paperback. Condición: Fine.

Condición: New.

Condición: New.

Condición: New.

Paperback. Condición: Brand New. 464 pages. German language. 7.48x4.96x1.18 inches. In Stock.

Condición: New.

Paperback. Condición: Brand New. 72 pages. German language. 8.27x6.06x0.47 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 72 pages. German language. 8.43x6.06x0.47 inches. In Stock.

Paperback. Condición: Brand New. 22 pages. German language. 8.23x5.87x0.47 inches. In Stock.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Paperback. Condición: Brand New. 22 pages. German language. 8.43x6.06x0.55 inches. In Stock.

Paperback. Condición: Brand New. German language. 7.24x4.88x1.34 inches. In Stock.

Paperback. Condición: Brand New. 22 pages. German language. 8.27x5.98x0.47 inches. In Stock.

Paperback. Condición: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features.  Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.…

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condición: New. In English.

Hardback. Condición: New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features.  Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.…