Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Published by Oxford University Press, Oxford, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Paperback. Condition: new. Paperback. This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference.The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through toresearch level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with adiscussion of advanced fitting strategies and an introduction to Bayesian analysis. This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Oxford University Press, GB, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Add to basketPaperback. Condition: New. This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.
Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Published by Oxford University Press, 2010
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Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Add to basketCondition: New. 2010. 1st Edition. Paperback. This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting. Num Pages: 160 pages, 75 b/w line illustrations. BIC Classification: PBC; PDDM. Category: (UU) Undergraduate. Dimension: 244 x 189 x 9. Weight in Grams: 354. . . . . .
Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Condition: New. 2010. 1st Edition. Paperback. This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting. Num Pages: 160 pages, 75 b/w line illustrations. BIC Classification: PBC; PDDM. Category: (UU) Undergraduate. Dimension: 244 x 189 x 9. Weight in Grams: 354. . . . . . Books ship from the US and Ireland.
Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
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Published by Oxford University Press Okt 2010, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting.
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Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
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Published by Oxford University Press, Oxford, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Add to basketPaperback. Condition: new. Paperback. This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference.The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through toresearch level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with adiscussion of advanced fitting strategies and an introduction to Bayesian analysis. This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Oxford University Press, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Published by Oxford University Press, Oxford, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Add to basketPaperback. Condition: new. Paperback. This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference.The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through toresearch level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with adiscussion of advanced fitting strategies and an introduction to Bayesian analysis. This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Oxford University Press, GB, 2010
ISBN 10: 019956633X ISBN 13: 9780199566334
Language: English
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Add to basketPaperback. Condition: New. This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.