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http://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/54140Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bonamente, Massimiliano | - |
| dc.date.accessioned | 2018-06-06T07:15:32Z | - |
| dc.date.available | 2018-06-06T07:15:32Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.isbn | 9781493965724 | - |
| dc.identifier.uri | http://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/54140 | - |
| dc.description | Graduate Texts in Physics | vi |
| dc.description.abstract | Thematerial presented in this book can be comfortably covered in a one-semester course and has several problems at the end of each chapter that are suitable as homework assignments or exam questions. Problems are both of theoretical and numerical nature, so that emphasis is equally placed on conceptual and practical understanding of the subject. Several datasets, including those in the four “classic experiments,” are used across several chapters, and the students can therefore use them in applications of increasing difficulty. | vi |
| dc.description.tableofcontents | Theory of Probability; Random Variables and Their Distributions; Three Fundamental Distributions: Binomial, Gaussian, and Poisson; Functions of Random Variables and Error Propagation; Maximum Likelihood and Other Methods to Estimate Variables; Mean, Median, and Average Values of Variables; Hypothesis Testing and Statistics; Maximum Likelihood Methods for Two-Variable Datasets; Multi-Variable Regression; Goodness of Fit and Parameter Uncertainty; Systematic Errors and Intrinsic Scatter; Fitting Two-Variable Datasets with Bivariate Errors; Model Comparison. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Statistics and analysis | vi |
| dc.subject | Scientific data | vi |
| dc.subject | Quantitative analysis | vi |
| dc.title | Statistics and Analysis of Scientific Data. 2nd ed. | vi |
| dc.type | Book | vi |
| Appears in Collections: | Physics | |
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