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Paperback or Softback. Condizione: New. Defining Agroecology: A Festschrift for Teja Tscharntke. Book.
Lingua: Inglese
Editore: Princeton University Press, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Fine.
EUR 32,89
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Lingua: Inglese
Editore: Princeton University Press, 2025
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Lingua: Inglese
Editore: Princeton University Press, 2025
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EUR 41,15
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Lingua: Inglese
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Lingua: Inglese
Editore: Princeton University Press 6/3/2025, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
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Paperback or Softback. Condizione: New. Statistics by Simulation: A Synthetic Data Approach. Book.
Lingua: Inglese
Editore: Princeton University Press, US, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 50,16
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Aggiungi al carrelloPaperback. Condizione: New. An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical statistical analysis. This textbook provides a new tool for the statistical toolkit: data simulations. It shows that using simulation and data-generating models is an excellent way to validate statistical reasoning and to augment study design and statistical analysis with planning and visualization. Although data simulations are not new to professional statisticians, Statistics by Simulation makes the approach accessible to a broader audience, with examples from many fields. It introduces the reasoning behind data simulation and then shows how to apply it in planning experiments or observational studies, developing analytical workflows, deploying model diagnostics, and developing new indices and statistical methods. Covers all steps of statistical practice, from planning projects to post-hoc analysis and model checking. Provides examples from disciplines including sociology, psychology, ecology, economics, physics, and medicine. Includes R code for all examples, with data and code freely available online. Offers bullet-point outlines and summaries of each chapter. Minimizes the use of jargon and requires only basic statistical background and skills.
Lingua: Inglese
Editore: Princeton University Press, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 41,21
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Lingua: Inglese
Editore: Princeton University Press, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Princeton University Press, 2025
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EUR 35,60
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Editore: Princeton University Press, New Jersey, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical statistical analysis. This textbook provides a new tool for the statistical toolkit: data simulations. It shows that using simulation and data-generating models is an excellent way to validate statistical reasoning and to augment study design and statistical analysis with planning and visualization. Although data simulations are not new to professional statisticians, Statistics by Simulation makes the approach accessible to a broader audience, with examples from many fields. It introduces the reasoning behind data simulation and then shows how to apply it in planning experiments or observational studies, developing analytical workflows, deploying model diagnostics, and developing new indices and statistical methods. Covers all steps of statistical practice, from planning projects to post-hoc analysis and model checking Provides examples from disciplines including sociology, psychology, ecology, economics, physics, and medicine Includes R code for all examples, with data and code freely available online Offers bullet-point outlines and summaries of each chapter Minimizes the use of jargon and requires only basic statistical background and skills Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 40,08
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Lingua: Inglese
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EUR 49,71
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ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,28
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 62,03
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Condizione: New. pp. 286.
Lingua: Inglese
Editore: Princeton University Press, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 44,25
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Aggiungi al carrelloCondizione: New. pp. 286.
Lingua: Inglese
Editore: Princeton University Press, US, 2025
ISBN 10: 0691258775 ISBN 13: 9780691258775
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 66,56
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Aggiungi al carrelloPaperback. Condizione: New. An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical statistical analysis. This textbook provides a new tool for the statistical toolkit: data simulations. It shows that using simulation and data-generating models is an excellent way to validate statistical reasoning and to augment study design and statistical analysis with planning and visualization. Although data simulations are not new to professional statisticians, Statistics by Simulation makes the approach accessible to a broader audience, with examples from many fields. It introduces the reasoning behind data simulation and then shows how to apply it in planning experiments or observational studies, developing analytical workflows, deploying model diagnostics, and developing new indices and statistical methods. Covers all steps of statistical practice, from planning projects to post-hoc analysis and model checking. Provides examples from disciplines including sociology, psychology, ecology, economics, physics, and medicine. Includes R code for all examples, with data and code freely available online. Offers bullet-point outlines and summaries of each chapter. Minimizes the use of jargon and requires only basic statistical background and skills.
Da: medimops, Berlin, Germania
EUR 22,40
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 66,05
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EUR 71,21
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Da: California Books, Miami, FL, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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