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Statistical aspects of the microbiol...

Jarvis, B. (1936-{me_controlnum})

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Statistical aspects of the microbiological examination of foods

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical aspects of the microbiological examination of foods/ Basil Jarvis.
作者:	Jarvis, B.
出版者:	Amsterdam ;Academic, : c2008.,
面頁冊數:	xviii, 306 p. ;24 cm.
附註:	Previous ed.: Amsterdam: Elsevier, 1989.
內容註:	Introduction;Some Basic Statistical Concepts; Frequency Distributions; The distribution of microorganisms in foods in relation to sampling; Statistical Aspects Of Sampling For Microbiological Analysis; Errors In The Preparation Of Laboratory Samples For Analysis; Errors Associated With Colony Count Procedures; Errors Associated With Quantal Response Methods; Statistical Considerations Of Other Methods In Quantitative Microbiology; Measurement Uncertainty in Microbiological Analysis; Estimation Of Measurement Uncertainty; Statistical Process Control using Microbiological Data; Validation of Microbiological Methods; Statistical aspects of microbiological criteria for foods in relation to Food Safety Objectives.
標題:	Food - Microbiology -
電子資源:	http://www.sciencedirect.com/science/book/9780444530394An electronic book accessible through the World Wide Web; click for information
ISBN:	9780444530394

Statistical aspects of the microbiological examination of foods
Jarvis, B.1936-{me_controlnum}

Statistical aspects of the microbiological examination of foods[electronic resource] /Basil Jarvis. - 2nd ed. - Amsterdam ;Academic,c2008. - xviii, 306 p. ;24 cm.

Previous ed.: Amsterdam: Elsevier, 1989.

Includes bibliographical references and index.

Introduction;Some Basic Statistical Concepts; Frequency Distributions; The distribution of microorganisms in foods in relation to sampling; Statistical Aspects Of Sampling For Microbiological Analysis; Errors In The Preparation Of Laboratory Samples For Analysis; Errors Associated With Colony Count Procedures; Errors Associated With Quantal Response Methods; Statistical Considerations Of Other Methods In Quantitative Microbiology; Measurement Uncertainty in Microbiological Analysis; Estimation Of Measurement Uncertainty; Statistical Process Control using Microbiological Data; Validation of Microbiological Methods; Statistical aspects of microbiological criteria for foods in relation to Food Safety Objectives.

For many biologists, statistics are an anathema; but statistical analysis of quantitative and qualitative data is of considerable importance. Although spreadsheet software provides a diverse range of statistical tools, users are often unsure which technique should be used. This book provides the basic statistical theory and practice to understand the types of tests frequently needed for the assessment of microbiological data. No prior knowledge of statistical techniques is required.Even when data can be given to a professional statistician for analysis, the microbiologist needs to have at least a general understanding of the underlying basis of statistical procedures in order to communicate effectively with the statistician. The book contains many worked examples to illustrate the use of the techniques and provides a plethora of references both to standard statistical works and to relevant original scientific papers on food microbiology. * Basil Jarvis has had many years of experience in academic, research and industrial food microbiology and is a Past President of the Society for Applied Microbiology. He has published several edited books and more than 200 scientific articles concerned with food microbiology. * NEW to this edition - chapters on Measurement Uncertainty in Microbiology, Statistical Process Control, Food Safety Objectives, Risk Assessment and Microbiological Criteria and a chapter on Validation of Microbiological Methods by Dr Sharon Brunelle, AOAC consultant. * Includes additional figures and tables together with many worked examples to illustrate the use of specific procedures in the analysis of data obtained in the microbiological examination of foods.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2008.

Mode of access: World Wide Web.

ISBN: 9780444530394

Source: 136251:136384Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

1362441
Food
--MicrobiologyIndex Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QR53 / .P7 2008eb

Dewey Class. No.: 664.001579

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520 $a For many biologists, statistics are an anathema; but statistical analysis of quantitative and qualitative data is of considerable importance. Although spreadsheet software provides a diverse range of statistical tools, users are often unsure which technique should be used. This book provides the basic statistical theory and practice to understand the types of tests frequently needed for the assessment of microbiological data. No prior knowledge of statistical techniques is required.Even when data can be given to a professional statistician for analysis, the microbiologist needs to have at least a general understanding of the underlying basis of statistical procedures in order to communicate effectively with the statistician. The book contains many worked examples to illustrate the use of the techniques and provides a plethora of references both to standard statistical works and to relevant original scientific papers on food microbiology. * Basil Jarvis has had many years of experience in academic, research and industrial food microbiology and is a Past President of the Society for Applied Microbiology. He has published several edited books and more than 200 scientific articles concerned with food microbiology. * NEW to this edition - chapters on Measurement Uncertainty in Microbiology, Statistical Process Control, Food Safety Objectives, Risk Assessment and Microbiological Criteria and a chapter on Validation of Microbiological Methods by Dr Sharon Brunelle, AOAC consultant. * Includes additional figures and tables together with many worked examples to illustrate the use of specific procedures in the analysis of data obtained in the microbiological examination of foods.
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