Providing knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Simon Vaughan is a Reader in the Department of Physics and Astronomy, University of Leicester, where he has developed and runs a highly regarded course for final year physics students on the subject of statistics and data analysis.
Inhaltsangabe
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.
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.
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.
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.
Rezensionen
'... succinct and fast-paced ...' Bogdan Hoanca, Optics and Photonics News
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