Applied bayesian statistics di scott lynch (49 risultati)

Hardcover. Condizione: Very Good+. Covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. Key feature of this book is that it covers models that are most commonly used in social science research including the linear regression model, generalized linear models, hierarchical models and multivariate regression models. Professional book seller with storefront since 1975. All orders carefully packaged and promptly shipped.…

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

Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New.

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.

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Hardcover. Condizione: Good. 357 Pages With The Index. Textbook Binding. Creased Pages, Used Book,We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.…

Paperback. Condizione: New. Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability for, social scientists. Specifically, the last two decades have seen an increase in the availability of panel data sets, other hierarchically structured data sets including spatially organized data, along with interests in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is well-suited for these types of data and research questions. Applied Bayesian Statistics is an introduction to these methods that is geared toward social scientists. Author Scott M. Lynch makes the material accessible by emphasizing application more than theory, explaining the math in a step-by-step fashion, and demonstrating the Bayesian approach in analyses of U.S. political trends drawing on data from the General Social Survey. …

Condizione: 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. Condizione: new. Paperback. Applied Bayesian Statistics provides a broad, but in-depth introduction to Bayesian statistics, both in terms of its basic theoretical underpinnings and its contemporary methods of application. The book is highly applied-more of a "how to" guide-with statistical theory limited to what is needed to understand the basic ideas. The focus is on common models used by social scientists, and extensions to them that the Bayesian approach facilitates. The author uses publicity-accessible, and user-friendly datasets for the examples, such as the General Social Survey data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: New.

Condizione: New. 2022. 1st Edition. Paperback. . . . . .

hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condizione: New. In English.

Paperback. Condizione: Brand New. 187 pages. 8.25x5.50x0.50 inches. In Stock.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days.

Condizione: New. 2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: Brand New. 187 pages. 8.25x5.50x0.50 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware - Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability for, social scientists. Specifically, the last two decades have seen an increase in the availability of panel data sets, other hierarchically structured data sets including spatially organized data, along with interests in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is well-suited for these types of data and research questions. Applied Bayesian Statistics is an introduction to these methods that is geared toward social scientists. Author Scott M. Lynch makes the material accessible by emphasizing application more than theory, explaining the math in a step-by-step fashion, and demonstrating the Bayesian approach in analyses of U.S. political trends drawing on data from the General Social Survey.…

Condizione: New. Applied Bayesian Statistics provides a broad, but in-depth introduction to Bayesian statistics, both in terms of its basic theoretical underpinnings and its contemporary methods of application. The book is highly applied more of a how to .

Paperback. Condizione: new. Paperback. Applied Bayesian Statistics provides a broad, but in-depth introduction to Bayesian statistics, both in terms of its basic theoretical underpinnings and its contemporary methods of application. The book is highly applied-more of a "how to" guide-with statistical theory limited to what is needed to understand the basic ideas. The focus is on common models used by social scientists, and extensions to them that the Bayesian approach facilitates. The author uses publicity-accessible, and user-friendly datasets for the examples, such as the General Social Survey data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: New. Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability for, social scientists. Specifically, the last two decades have seen an increase in the availability of panel data sets, other hierarchically structured data sets including spatially organized data, along with interests in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is well-suited for these types of data and research questions. Applied Bayesian Statistics is an introduction to these methods that is geared toward social scientists. Author Scott M. Lynch makes the material accessible by emphasizing application more than theory, explaining the math in a step-by-step fashion, and demonstrating the Bayesian approach in analyses of U.S. political trends drawing on data from the General Social Survey. …

Taschenbuch. Condizione: Neu. Applied Bayesian Statistics | Scott M. Lynch | Taschenbuch | Quantitative Applications in the Social Sciences | Kartoniert / Broschiert | Englisch | 2022 | SAGE Publications Inc | EAN 9781544334639 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

Condizione: New. In English.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Introduction to Applied Bayesian Statistics and Estimation for Social Scientists' covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.The first part of the book provides a detailed introduction to mathematical statistics and the Bayesian approach to statistics, as well as a thorough explanation of the rationale for using simulation methods to construct summaries of posterior distributions. Markov chain Monte Carlo (MCMC) methods - including the Gibbs sampler and the Metropolis-Hastings algorithm - are then introduced as general methods for simulating samples from distributions. Extensive discussion of programming MCMC algorithms, monitoring their performance, and improving them is provided before turning to the larger examples involving real social science models and data.…

Condizione: New. pp. 388.

Paperback. Condizione: Brand New. 364 pages. 8.80x6.00x1.10 inches. In Stock.

Condizione: New. In English.