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  • Sprache: Englisch

    Verlag: Chapman and Hall/CRC, 2025

    1032713828 / 9781032713823

    • Softcover

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  • Sprache: Englisch

    Verlag: Chapman and Hall/CRC, 2025

    1032711531 / 9781032711539

    • Hardcover

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    EUR 208,22

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    hardcover. Zustand: Fine.

  • Sprache: Englisch

    Verlag: Chapman and Hall/CRC, 2025

    1032713828 / 9781032713823

    • Softcover

    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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    EUR 224,06

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Taylor and Francis Ltd, GB, 2025

    1032713828 / 9781032713823

    • Softcover

    Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA

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    EUR 254,45

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    Paperback. Zustand: New. This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.Key features:Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicabilityIncorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy interventionHelps to understand the process of hypothesis testing in small or larger observations by using weighted parametersPresents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key pointsIncludes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual dataThis textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic. …

  • Sprache: Englisch

    Verlag: Taylor and Francis Ltd, GB, 2025

    1032713828 / 9781032713823

    • Softcover

    Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK

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    EUR 249,98

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    Paperback. Zustand: New. This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.Key features:Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicabilityIncorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy interventionHelps to understand the process of hypothesis testing in small or larger observations by using weighted parametersPresents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key pointsIncludes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual dataThis textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic. …

  • Sprache: Englisch

    Verlag: CRC Press, 2025

    1032713828 / 9781032713823

    • Softcover
    • Print-on-Demand

    Anbieter: moluna, Greven, Deutschlandmoluna

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    EUR 140,83

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    Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Basavarajaiah D.M is currently the Head of the Department of Statistics and Computer Science at Karnataka Veterinary, Animal, and Fisheries Sciences University (B), Hebbal, Bangalore. He obtained his Ph.D. from the National Institute of .…

  • Sprache: Englisch

    Verlag: Chapman And Hall/CRC, 2025

    1032713828 / 9781032713823

    • Softcover
    • Print-on-Demand

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    EUR 184,42

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    Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.Key features:Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicabilityIncorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy interventionHelps to understand the process of hypothesis testing in small or larger observations by using weighted parametersPresents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key pointsIncludes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual dataThis textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.…

  • Sprache: Englisch

    Verlag: CRC Press, 2025

    1032711531 / 9781032711539

    • Hardcover
    • Print-on-Demand

    Anbieter: moluna, Greven, Deutschlandmoluna

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    Zustand: Neu

    EUR 184,46

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    Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Basavarajaiah D.M is currently the Head of the Department of Statistics and Computer Science at Karnataka Veterinary, Animal, and Fisheries Sciences University (B), Hebbal, Bangalore. He obtained his Ph.D. from the National Institute of .…