| 000 | 03171nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-32931-9 | ||
| 003 | DE-He213 | ||
| 005 | 20140220082854.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 130531s2013 gw | s |||| 0|eng d | ||
| 020 |
_a9783642329319 _9978-3-642-32931-9 |
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| 024 | 7 |
_a10.1007/978-3-642-32931-9 _2doi |
|
| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
|
| 072 | 7 |
_aMAT029000 _2bisacsh |
|
| 082 | 0 | 4 |
_a519.5 _223 |
| 100 | 1 |
_aSimo, Puntanen. _eauthor. |
|
| 245 | 1 | 0 |
_aFormulas Useful for Linear Regression Analysis and Related Matrix Theory _h[electronic resource] : _bIt's Only Formulas But We Like Them / _cby Puntanen Simo, Styan George P. H., Isotalo Jarkko. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
| 300 |
_aXII, 125 p. 3 illus., 2 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Statistics, _x2191-544X |
|
| 505 | 0 | _aThe Model Matrix -- Fitted Values and Residuals -- Regression Coefficients -- Alternative Estimators -- Decompositions of Sums of Squares -- Partial Correlations -- Distributions -- Testing Hypotheses -- Diagnostics -- BLUE: Some Helpful Identities -- Estimability -- Best Linear Unbiased Estimator -- The Watson Efficiency -- Linear Sufficiency and Admissibility -- Best Linear Unbiased Predictor -- Mixed Model -- Multivariate Linear Model -- Inverse of a Partitioned Matrix -- Generalized Inverses -- Projectors -- Eigenvalues -- Discriminant Analysis -- Factor Analysis -- Canonical Correlations -- Matrix Decompositions -- Principal Component Analysis -- Löwner Ordering -- Rank Rules -- Inequalities -- Kronecker Product -- Matrix Derivatives. | |
| 520 | _aThis is an unusual book because it contains a great deal of formulas. Hence it is a blend of monograph, textbook, and handbook. It is intended for students and researchers who need quick access to useful formulas appearing in the linear regression model and related matrix theory. This is not a regular textbook - this is supporting material for courses given in linear statistical models. Such courses are extremely common at universities with quantitative statistical analysis programs. | ||
| 650 | 0 | _aStatistics. | |
| 650 | 0 | _aMatrix theory. | |
| 650 | 0 | _aMathematical statistics. | |
| 650 | 0 |
_aEconomics _xStatistics. |
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| 650 | 0 | _aEconometrics. | |
| 650 | 1 | 4 | _aStatistics. |
| 650 | 2 | 4 | _aStatistical Theory and Methods. |
| 650 | 2 | 4 | _aLinear and Multilinear Algebras, Matrix Theory. |
| 650 | 2 | 4 | _aEconometrics. |
| 650 | 2 | 4 | _aStatistics for Business/Economics/Mathematical Finance/Insurance. |
| 700 | 1 |
_aGeorge P. H., Styan. _eauthor. |
|
| 700 | 1 |
_aJarkko, Isotalo. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642329302 |
| 830 | 0 |
_aSpringerBriefs in Statistics, _x2191-544X |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-32931-9 |
| 912 | _aZDB-2-SMA | ||
| 999 |
_c97304 _d97304 |
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