Haughton victor (31 risultati)

Paper. Condizione: Good. 61 pages. Booklet.

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

paperback. Condizione: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

Hardcover. Condizione: Good. The hardcover is in good condition with some minor wear on the edges and corners. The spine is intact and the binding is firm. There is no dust jacket present. The pages are clean and free from inscriptions or library markings. unknown (no dust jacket visible). R.H. Albertin, M.A. (illustratore). …

Pappband. Condizione: Gut. 221 S. Kanten etwas berieben / bestossen /// Standort Wimregal . HAGG-1574st ISBN 0443082537 WITHIN THE EU: shipping only to GERMANY and AUSTRIA due to the new EPR regulations. Sprache: Englisch Gewicht in Gramm: 700.

Condizione: Comme neuf. Broché.

Unknown. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condizione: New. Satisfaction Guaranteed or your money back.

fester Einband. VIII, 252 S. (25,5 cm) OLn. 1. Aufl. Guter Zustand. Sprache / Language: Englisch.

Hardcover. Condizione: Good. . Ships from USA with tracking. The product is stored at a fulfillment warehouse, already packed and ready for shipment. It is not possible to take new photos of the original item. ).

Condizione: New. Satisfaction Guaranteed or your money back.

Condizione: As New. Unread book in perfect condition.

Cloth. Condizione: Very Good. No Jacket. Binding a little weak, previous owners name ffep, otherwise unmarked, with 1160 illustrations, 655pp, VG/--. Book.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 315 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Hardback. Condizione: New. Among the most important questions that businesses ask are some very simple ones: If I decide to do something, will it work? And if so, how large are the effects? To answer these predictive questions, and later base decisions on them, we need to establish causal relationships.Establishing and measuring causality can be difficult. This book explains the most useful techniques for discerning causality and illustrates the principles with numerous examples from business. It discusses randomized experiments (aka A/B testing) and techniques such as propensity score matching, synthetic controls, double differences, and instrumental variables. There is a chapter on the powerful AI approach of Directed Acyclic Graphs (aka Bayesian Networks), another on structural equation models, and one on time-series techniques, including Granger causality.At the heart of the book are four chapters on uplift modeling, where the goal is to help firms determine how best to deploy their resources for marketing or other interventions. We start by modeling uplift, discuss the test-and-learn process, and provide an overview of the prescriptive analytics of uplift.The book is written in an accessible style and will be of interest to data analysts and strategists in business, to students and instructors of business and analytics who have a solid foundation in statistics, and to data scientists who recognize the need to take seriously the need for causality as an essential input into effective decision-making.…

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condizione: Brand New. 300 pages. 9.25x6.14x9.45 inches. In Stock.

Condizione: New. Satisfaction Guaranteed or your money back.

Hardback. Condizione: New. Among the most important questions that businesses ask are some very simple ones: If I decide to do something, will it work? And if so, how large are the effects? To answer these predictive questions, and later base decisions on them, we need to establish causal relationships.Establishing and measuring causality can be difficult. This book explains the most useful techniques for discerning causality and illustrates the principles with numerous examples from business. It discusses randomized experiments (aka A/B testing) and techniques such as propensity score matching, synthetic controls, double differences, and instrumental variables. There is a chapter on the powerful AI approach of Directed Acyclic Graphs (aka Bayesian Networks), another on structural equation models, and one on time-series techniques, including Granger causality.At the heart of the book are four chapters on uplift modeling, where the goal is to help firms determine how best to deploy their resources for marketing or other interventions. We start by modeling uplift, discuss the test-and-learn process, and provide an overview of the prescriptive analytics of uplift.The book is written in an accessible style and will be of interest to data analysts and strategists in business, to students and instructors of business and analytics who have a solid foundation in statistics, and to data scientists who recognize the need to take seriously the need for causality as an essential input into effective decision-making.…