000			01633nab a22003857a 4500
001			G29978
003			MX-TxCIM
005			20170719154938.0
008			121211b |||p||p||||||| |z||| |
040			_aMX-TxCIM
041	0		_aEn
043			_aUS
072		0	_aF06
072		0	_aU10
090			_aREP-3976
100	1		_aGupta, R.K. _9515
245	0	0	_aStochastic modeling of irrigation requirements
260			_c1986
340			_aPrinted
500			_aTables, graphs, references p. 75
520			_aThe stochastic structure of weekly irrigation requirement of a crop was studied. The irrigation requirement time series is assumed to be represented by an additive model with trend, periodic and stochastic as its components. Each component is identified and, if found, removed from the original series. The turning point test and Kendall's rank correlation test are applied for detectingthe trend. In the analysis of series, the correlogram technique is used to detect the periodicity, which is then analyzed by Fourier series method. Harmonic analysis is done for identifying the number of significant harmonics. The series is then tested for stationarity
536			_aBorlaug Institute for South Asia
546			_aEnglish
591			_aNo CIMMYT affiliation
594			_aCGUR01
595			_aRPC
650	1	0	_aData analysis
650	1	0	_aIrrigation schemes
650	1	0	_aModels
650	1	0	_aStatistical analysis _91276
650	1	0	_aWater requirements
700	1		_aChauhan, H.S., _ecoaut.
773	0		_tJournal of Irrigation and Drainage Engineering _n615338 _gv. 112, no. 1, p. 65-76
942			_cJA
999			_c12115 _d12115