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010 a| 2013427787;

016 7 a| 0162700452| Uk;

020 a| 1107030013;

020 a| 9781107030015;

020 a| 9781107670341;

020 a| 1107670349;

035 a| (WaSeSS)ssj0000972148;

042 a| lccopycat;

049 a| EREEa| NEHH;

050 00 a| QC174.8b| .B474 2013;

082 04 a| 530/.0782| 23;

100 1 a| Bevan, Adrian.=| ^A1257410;

245 10 a| Statistical Data Analysis for the Physical Sciencesh| [electronic resource] /c| Adrian Bevan, Queen Mary, University of London.;

260 a| Cambridge, UK :b| Cambridge University Press,c| 2013.;

300 a| xi, 220 pages :b| illustrations ;c| 26 cm;

504 a| Includes bibliographical references (pages 216-217) and index.;

505 0 a| Introduction -- Sets -- Probability -- Visualising and quantifying the properties of data -- Useful distributions -- Uncertainty and errors -- Confidence intervals -- Hypothesis testing -- Fitting -- Multivariate analysis -- Appendix A. Glossary -- Appendix B. Probability density functions -- Appendix C. Numerical integration methods -- Appendix D. Solutions -- Appendix E. Reference tables -- References -- Index.;

506 a| Available only to authorized users.;

520 a| "Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also tekas in advanced and modern subjects, such as neural networks, decision trees, fitting techniques, and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material."--Back cover.;

538 a| Mode of access: World Wide Web;

546 a| Text in English.;

650 0 a| Physical sciencesx| Statistical methods.=| ^A342393;

650 0 a| Physical sciencesx| Experimentsx| Data processing.=| ^A342393;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=1182963;

947 a| (OCoLC)ocn841794250;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 5199438;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5199438-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 11/2/2019x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5199438-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 11/2/2019x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5199438-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 11/2/2019x| EBOOKz| JERESOURCE;

Statistical Data Analysis for the Physical Sciences / Adrian Bevan, Queen Mary, University of London.

Author/creator	Bevan, Adrian
Format	Electronic
Publication Info	Cambridge, UK : Cambridge University Press, 2013.
Description	xi, 220 pages : illustrations ; 26 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Physical sciences--Statistical methods. Physical sciences--Experiments. --Data processing.

Contents	Introduction -- Sets -- Probability -- Visualising and quantifying the properties of data -- Useful distributions -- Uncertainty and errors -- Confidence intervals -- Hypothesis testing -- Fitting -- Multivariate analysis -- Appendix A. Glossary -- Appendix B. Probability density functions -- Appendix C. Numerical integration methods -- Appendix D. Solutions -- Appendix E. Reference tables -- References -- Index.
Abstract	"Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also tekas in advanced and modern subjects, such as neural networks, decision trees, fitting techniques, and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material."--Back cover.
Bibliography note	Includes bibliographical references (pages 216-217) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Language	Text in English.
Genre/form	Electronic books.
LCCN	2013427787
ISBN	1107030013
ISBN	9781107030015
ISBN	9781107670341
ISBN	1107670349

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Statistical Data Analysis for the Physical Sciences / Adrian Bevan, Queen Mary, University of London.

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