Estimation of a regression function by the parzen kernel-type density estimators

1976 ◽  
Vol 28 (1) ◽  
pp. 221-234 ◽  
Author(s):  
Kazuo Noda
Keyword(s):  
Regression Function ◽  
Kernel Type ◽  
Density Estimators

Improvement of Kernel Type Density Estimators

1977 ◽  
Vol 72 (358) ◽  
pp. 420-423 ◽  
Author(s):  
W. R. Schucany ◽  
John P. Sommers
Keyword(s):  
Kernel Type ◽  
Density Estimators

Jackknifing Kernel Type Density Estimators.

1983 ◽  
Author(s):  
J. S. Rustagi ◽  
S. Dynin
Keyword(s):  
Kernel Type ◽  
Density Estimators

scholarly journals Kernel-Type Estimators of Jump Points and Values of a Regression Function

1993 ◽  
Vol 21 (3) ◽  
pp. 1545-1566 ◽  
Author(s):  
J. S. Wu ◽  
C. K. Chu
Keyword(s):  
Regression Function ◽  
Kernel Type

scholarly journals A Functional Central Limit Theorem for Kernel Type Density Estimators

2016 ◽  
Vol 35 (4) ◽  
Author(s):  
István Fazekas ◽  
Peter Filzmoser
Keyword(s):  
Central Limit Theorem ◽  
Limit Theorem ◽  
Central Limit ◽  
Random Fields ◽  
Functional Central Limit Theorem ◽  
Integrable Functions ◽  
Square Integrable Functions ◽  
Functional Central Limit ◽  
Kernel Type ◽  
Density Estimators

Kernel type density estimators are studied for random fields. A functional central limit theorem in the space of square integrable functions is proved if the locations of observations become more and more dense in an increasing sequence of domains.

UNIFICATION OF STANDS SELECTION FOR FINAL FELLING IN STRATEGIC AND TACTICAL PLANNING

2015 ◽  
Author(s):  
Ainārs GRĪNVALDS
Keyword(s):  
Strategic Planning ◽  
Net Present Value ◽  
Strategic Plan ◽  
Regression Function ◽  
Tactical Planning ◽  
Present Value ◽  
Black Alder ◽  
Value Maximization ◽  
Annual Changes ◽  
Selection For

The stand selection for cutting in tactical planning should be done according to the same principles like in strategic planning – to maximize net present value. The simple way of how to transfer the net present value maximization principle from strategic planning to tactical planning was created in Sweden. The method is based on annual changes in the net present value by postponing final felling. Forest inventory data and forestry modelling system was used for calculation of changes in net present value for pine, spruce, birch, aspen and black alder stands. And changes in net present value were described by regression function with factors from stand parameters. The regression function allows calculating annual changes in net present value for each stand. And stands with higher decrease in net present value have higher cutting priority. Stands selected for the final felling in strategic plan were compared with the stands selected in tactical plan with two methods, first, by using annual changes in the net present value, second, by traditional planning principles. Stands selected by annual changes in the net present value were similar to stands that were selected for cutting in strategic plan, but stands selected by traditional planning principles – not.

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