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|b .B37 2016
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|a 616.07/50151
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|a UAMI
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|a Bartolucci, Alfred.
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|a Introduction to statistical analysis of laboratory data /
|c Alfred Bartolucci, Karan P. Singh, and Sejong Bae.
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|a Hoboken, N.J. :
|b Wiley,
|c 2015.
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|a 1 online resource
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|a Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis -Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process -Introduces terminology used in many applications such as the interpretation of assay design and validation as well as "fit for purpose" procedures including real world examples -Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities -Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation -Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions.
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|a Title from resource description page (Recorded Books, viewed March 22, 2016).
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|a Title Page; Copyright; Table of Contents; Dedication; Preface; Intended Audience; Prospectus; Acknowledgments; Chapter 1: Descriptive Statistics; 1.1 Measures of Central Tendency; 1.2 Measures of Variation; 1.3 Laboratory Example; 1.4 Putting it All Together; 1.5 Summary; References; Chapter 2: Distributions and Hypothesis Testing in Formal Statistical Laboratory Procedures; 2.1 Introduction; 2.2 Confidence Intervals (CI); 2.3 Inferential Statistics -- Hypothesis Testing; References; Chapter 3: Method Validation; 3.1 Introduction; 3.2 Accuracy; 3.3 Brief Introduction to Bioassay.
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|a 3.4 Sensitivity, Specificity (Selectivity)3.5 Method Validation and Method Agreement -- Bland-Altman; References; Chapter 4: Methodologies in Outlier Analysis; 4.1 Introduction; 4.2 Some Outlier Determination Techniques; 4.3 Combined Method Comparison Outlier Analysis; 4.4 Some Consequences of Outlier Removal; 4.5 Considering Outlier Variance; References; Chapter 5: Statistical Process Control; 5.1 Introduction; 5.2 Control Charts; 5.3 Capability Analysis; 5.4 Capability Analysis -- An Alternative Consideration; References; Chapter 6: Limits of Calibration.
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|a 6.1 Calibration: Limit Strategies for Laboratory Assay Data6.2 Limit Strategies; 6.3 Method Detection Limits (Epa); 6.4 Data Near the Detection Limits; 6.5 More on Statistical Management of Nondetects; 6.6 The Kaplan-Meier Method (Nonparametric Approach) for Analysis of Laboratory Data with Nondetects; References; Chapter 7: Calibration Bias; 7.1 Error; 7.2 Uncertainty; 7.3 Sources of Uncertainty; 7.4 Estimation Methods of Uncertainty; 7.5 Calibration Bias; 7.6 Multiple Instruments; 7.7 Crude Versus Precise Methodologies; References; Chapter 8: Robustness and Ruggedness; 8.1 Introduction.
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|a 8.2 Robustness8.3 Ruggedness; 8.4 An Alternative Procedure for Ruggedness Determination; 8.5 Ruggedness and System Suitability Tests; References; Index; End User License Agreement.
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|a Includes bibliographical references and index.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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590 |
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|a Knovel
|b ACADEMIC - General Engineering & Project Administration
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|a Mathematics.
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|a MATHEMATICS
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|x General.
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|a Mathematics
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|a Bae, Sejong.
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|a Singh, Karan P.
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|i Erscheint auch als:
|n Druck-Ausgabe
|t Bartolucci, Alfred A. Introduction to statistical analysis of laboratory data
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856 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4547997
|z Texto completo
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|a Askews and Holts Library Services
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