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9篇 您的检索式：作者名="Bukac"

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		题名	作者	年代	出处	被引量
	1	Fitting SB curves using symmetrical percentile point显示文摘	Bukac J	1972	Biometrika1972，59，：	1
	2	Soft tissue esthetics in im- plant dentistry显示文摘	Somanathan RV Simnek A Bukac J	2007	Acta Medica (Hradec Kralove)2007，50，3：	1
	3	Assessment of multipathway exposure of small children to PAH显示文摘	Adolf Vyskocil Zdenek Fiala Véronique Chénier Ladislav Krajak Eva Ettlerova Josef Bukac Claude Viau Stanislav Emminger	2000	Environmental Toxicology and Pharmacology2000，，2：	1
	4	Environmental exposure of small children to polycyclic aromatic hydrocarbons显示文摘	Zdenek Fiala Adolf Vyskocil Vladimir Krajak Claude Viau Eva Ettlerova Josef Bukac Dana Fialova Stanislav Emminger	2001	International Archives of Occupational and Environmental Health2001，，6：	1
	5	Instantaneous frequency: another tool of source of noise identification 显示文摘	Bukac H	2004	In Proceedings of the 2004 International Compressor Engineering Conference Purdue2004，040，：	1
	6	Soft tissue estheticsimplant dentistry 显示文摘	Somanathan RV Simunek A Bukac J	2007	Acta Medica ( Hradec Kralove)2007，50，3：	1
	7	NONEXISTENCE IN POWER AND GAMMA DENSITY REGRESSION, SUM OF NONNEGATIVE TERMS显示文摘When we use the power function a(c + x)b and gamma density axbe-cx to fit the data by the least squares method, we have to address the question of existence. The closure of the set of each type of these functions defined on a finite domain is determined. We derive a way to determine the closure of a sum of nonnegativefunctions if the closures of the summands are available.	Josef Bukac	2005	Analysis in Theory and Applications2005，21，1：	0
	8	NONEXISTENCE IN RECIPROCAL AND LOGARITHMIC REGRESSION显示文摘Fitting logarithmic b ln(c+x), a+bln(c+x) or reciprocal b/(c+x), a+b/(c+x) regression models to data by the least squares method asks for the determination of the closure of the set of each type of these functions defined on a finite domain. It follows that a minimal solution may not exist. But it does exist when the closure is considered.	Josef Bukac	2003	Analysis in Theory and Applications2003，19，3：	0
	9	WEIGHTED NONLINEAR REGRESSION显示文摘Minimization of the weighted nonlinear sum of squares of differences may be converted to the minimization of sum of squares. The Gauss-Newton method is recalled and the length of the step of the steepest descent method is determined by substituting the steepest descent direction in the Gauss-Newton formula. The existence of minimum is shown.	Josef Bukac	2008	Analysis in Theory and Applications2008，24，4：	0

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