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Data Analysis Using the Method of Least Squares Extracting the Most Information from Experiments /
The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Methods of Least Squares is to...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
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| Edición: | 1st ed. 2006. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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|---|---|---|---|
| 001 | 978-3-540-31720-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220120004206.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2006 gw | s |||| 0|eng d | ||
| 020 | |a 9783540317203 |9 978-3-540-31720-3 | ||
| 024 | 7 | |a 10.1007/3-540-31720-1 |2 doi | |
| 050 | 4 | |a QA276-280 | |
| 072 | 7 | |a PBT |2 bicssc | |
| 072 | 7 | |a MAT029000 |2 bisacsh | |
| 072 | 7 | |a PBT |2 thema | |
| 082 | 0 | 4 | |a 519 |2 23 |
| 100 | 1 | |a Wolberg, John. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Data Analysis Using the Method of Least Squares |h [electronic resource] : |b Extracting the Most Information from Experiments / |c by John Wolberg. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2006. | |
| 300 | |a XIII, 250 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a The Method of Least Squares -- Model Evaluation -- Candidate Predictors -- Designing Quantitative Experiments -- Software -- Kernel Regression. | |
| 520 | |a The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Methods of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest. In addition, graduate students in science and engineering doing work of experimental nature can benefit from this book. Particularly, both linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed. | ||
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Measurement. | |
| 650 | 0 | |a Measuring instruments. | |
| 650 | 1 | 4 | |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | |a Statistics in Business, Management, Economics, Finance, Insurance. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Measurement Science and Instrumentation. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783540810162 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540256748 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/3-540-31720-1 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
| 912 | |a ZDB-2-SXMS | ||
| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||