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Introduction to Statistical Analysis of Laboratory Data

Alfred Bartolucci

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Hardback
20-November-2015
$266.00
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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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$266.00
Ships in 3-5 business days
Hurry up! Current stock:

Introduction to Statistical Analysis of Laboratory Data

$266.00

Description

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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