Chapman & hall/crc texts in statistical science - 9780367139919 - statistical rethinking: a bayesian course with examples in r and stan di mcelreath, richard (43 risultati)

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Lingua: Inglese
Editore: CRC Press LLC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
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EUR 61,28
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Hardback. Condizione: Very Good. Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Lingua: Inglese
Editore: CRC Press LLC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
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EUR 61,28
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Hardback. Condizione: Good. Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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Hardcover. Condizione: Very Good. 2. 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.

Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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Hardcover. Condizione: Very Good. 2. 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.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.Goodwill of Silicon Valley
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Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

Lingua: Inglese
Editore: Chapman and Hall/CRC, Boca Raton, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Fine. 2nd Edition. No Markings.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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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.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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Hardcover. Condizione: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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hardcover. Condizione: Good.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Fine.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Jenson Books Inc, Logan, UT, U.S.A.Jenson Books Inc
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hardcover. Condizione: Good. The item is in good condition and works perfectly, however it is showing some signs of previous ownership which could include: small tears, scuffing, notes, highlighting, gift inscriptions, and library markings.

Lingua: Inglese
Editore: CRC Press, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.

Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: new. Hardcover. Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automa…ted. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work. The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding. The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses. Features Integrates working code into the main text Illustrates concepts through worked data analysis examples Emphasizes understanding assumptions and how assumptions are reflected in code Offers more detailed explanations of the mathematics in optional sections Presents examples of using the dagitty R package to analyze causal graphs Provides the rethinking R package on the author's website and on GitHub Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 89,98
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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Lingua: Inglese
Editore: CRC Press, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 94,38
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Condizione: New.

Lingua: Inglese
Editore: Chapman and Hall/CRC 2020-03-16, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 107,01
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Hardcover. Condizione: New.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In English.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 110,90
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Condizione: As New. Unread book in perfect condition.

Lingua: Inglese
Editore: Taylor & Francis Mär 2020, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 108,50
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. Neuware -Winner of the 2023 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based…statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.Features - Integrates working code into the main text. - Illustrates concepts through worked data analysis examples. - Emphasizes understanding assumptions and how assumptions are reflected in code. - Offers more detailed explanations of the mathematics in optional sections. - Presents examples of using the dagitty R package to analyze causal graphs. - Provides the rethinking R package on the author's website and on GitHub. Englisch.

Lingua: Inglese
Editore: Taylor & Francis Mär 2020, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 108,50
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. Neuware -Winner of the 2023 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based…statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.Features - Integrates working code into the main text. - Illustrates concepts through worked data analysis examples. - Emphasizes understanding assumptions and how assumptions are reflected in code. - Offers more detailed explanations of the mathematics in optional sections. - Presents examples of using the dagitty R package to analyze causal graphs. - Provides the rethinking R package on the author's website and on GitHub. Englisch.

Lingua: Inglese
Editore: Taylor & Francis Ltd, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 124,64
EUR 9,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: 2 disponibili
Condizione: New. 2020. 2nd Edition. Hardcover. . . . . .

Lingua: Inglese
Editore: Taylor & Francis Mär 2020, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 108,50
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. Neuware -Winner of the 2023 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based…statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.Features - Integrates working code into the main text. - Illustrates concepts through worked data analysis examples. - Emphasizes understanding assumptions and how assumptions are reflected in code. - Offers more detailed explanations of the mathematics in optional sections. - Presents examples of using the dagitty R package to analyze causal graphs. - Provides the rethinking R package on the author's website and on GitHub.

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2020
Serie: Libro 71 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Speedyhen, Hertfordshire, Regno UnitoSpeedyhen
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 94,39
EUR 47,72 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Condizione: NEW.