Format:
1 Online-Ressource (xiv, 224 pages)
,
digital, PDF file(s)
ISBN:
9781139176071
Content:
Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding
Content:
Machine generated contents note: 1. Science and statistical data analysis; 2. Statistical summaries of data; 3. Simple statistical inferences; 4. Probability theory; 5. Random variables; 6. Estimation and maximum likelihood; 7. Significance tests and confidence intervals; 8. Monte Carlo methods; Appendixes; References; Index
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9781107024823
Additional Edition:
ISBN 9781107607590
Additional Edition:
Print version ISBN 9781107024823
Language:
English
Subjects:
Economics
,
Geography
,
Mathematics
Keywords:
Statistik
;
Datenanalyse
;
Datenanalyse
;
R
;
Datenanalyse
;
Datenaufbereitung
;
Datenverarbeitung
;
Datenanalyse
;
Schlussfolgern
DOI:
10.1017/CBO9781139176071
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