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First Course Causal Inference by Ding Peng (24 results)
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A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC (edition 1), 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Condition: New.
-
A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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FIRST COURSE IN CAUSAL INFERENCE
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Condition: As New. Unread book in perfect condition.
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A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Condition: New. 1st edition NO-PA16APR2015-KAP.
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A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Condition: New.
-
First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Condition: New.
-
First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Hardcover. Condition: New. ISBN:9781032758626.
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A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
First Edition
Hardback. Condition: New. 1st. The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.Key Features:All R code and data sets available at Harvard Dataverse.Solutions manual available for instructors upon request from the author.Includes over 100 exercises.This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.
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International EditionHardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
First Edition
£ 126.11
Free Shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. 1st. The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.Key Features:All R code and data sets available at Harvard Dataverse.Solutions manual available for instructors upon request from the author.Includes over 100 exercises.This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.
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Hardcover. Condition: Brand New. 448 pages. 10.25x7.25x1.25 inches. In Stock.
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A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
First Edition
Hardback. Condition: New. 1st. The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.Key Features:All R code and data sets available at Harvard Dataverse.Solutions manual available for instructors upon request from the author.Includes over 100 exercises.This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.
-
A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
First Edition
£ 115.18
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. 1st. The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.Key Features:All R code and data sets available at Harvard Dataverse.Solutions manual available for instructors upon request from the author.Includes over 100 exercises.This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.
-
A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 84.95
£ 6.76 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peng Ding is an Associate Professor in the Department of Statistics at UC Berkeley. His research focuses on causal inference and its applications.The past decade has witnessed an explosion of interest in research and education in causal.
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A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Buch. Condition: Neu. A First Course in Causal Inference | Peng Ding | Buch | Einband - fest (Hardcover) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032758626 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu Print on Demand.
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A First Course in Causal Inference
Book 18 of 18: Miller Williams Poetry PrizeLanguage: English
Published by Chapman And Hall/CRC, 2024
ISBN 10: 1032758627 ISBN 13: 9781032758626
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.Key Features:All R code and data sets available at Harvard Dataverse.Solutions manual available for instructors upon request from the author.Includes over 100 exercises.This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.
