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001			86823
003			ES-MaUEC
005			20230207040616.0
007			cr nn 008mamaa
008			160321s2016 si | s |||| 0|eng d
020			_a9789811006630
024	7		_a10.1007/978-981-10-0663-0 2 doi
040			_aES-MaUEC
050		4	_aS600.5 _b.S87 2016 EB
082	0	4	_a519
100	1		_aSuryanarayana, T.M.V. _9100844 _0Local
245	1	0	_aPrincipal Component Regression for Crop Yield Estimation _cby T.M.V. Suryanarayana, P. B. Mistry
250			_a1st ed.
260			_aSingapore _bSpringer _c2016
300			_a1 recurso en línea (XVII, 67 p.) 12 il. col.
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
338			_aonline resource _bcr _2rdacarrier
490	1		_aSpringerBriefs in Applied Sciences and Technology _x2191-530X
505	0		_aIntroduction -- Principal Component Analysis In Transfer Function -- Review of Litrrature -- Study Area and Data Collection -- Methodology -- Conclusions.
520			_aThis book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequently compares the multiple linear regression (MLR) and PCR results, and discusses the significance of PCR for crop yield estimation. In this context, the book also covers Principal Component Analysis (PCA), a statistical procedure used to reduce a number of correlated variables into a smaller number of uncorrelated variables called principal components (PC). This book will be helpful to the students and researchers, starting their works on climate and agriculture, mainly focussing on estimation models. The flow of chapters takes the readers in a smooth path, in understanding climate and weather and impact of climate change, and gradually proceeds towards downscaling techniques and then finally towards development of principal component regression models and applying the same for the crop yield estimation.
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aClimatología agrícola _9142489 _0comprobar BNE19901016749 _2embne
650		7	_aCambios climáticos _0comprobar BNE19930143312 _2embne _9147715
700	1		_aMistry, P. B. _9100845 _0Local
830		0	_aSpringerBriefs in Applied Sciences and Technology _x2191-530X _9134085
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-981-10-0663-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9789811006630
907			_a.b12961012 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b06-09-17 _cm _dz _ei _feng _gsi _h0
945			_aS600.5 .S87 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11601905 _z06-04-17
999			_c86823 _d86823 _x1