Application of stochastic estimation theory in pest management

By:

SALAM DIN

Material type: Text

TextPublication details: Ludhiana PAU 1991Edition: Electrical EngineeringDescription: 58,20LSubject(s):

DDC classification:

T 632.9 S11A

Summary: A time series method of analysis is followed to identify and estimate the parameters of a dynamic model driven by white noise. The model can be then used for making one step ahead forecasts of the pest population using past and present value. A mean squar

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Theses/ Dissertation	Mohinder Singh Randhawa Library	T 632.9 S11A (Browse shelf(Opens below))	Not for loan		187280
Theses/ Dissertation	Mohinder Singh Randhawa Library	T 632.9 S11A (Browse shelf(Opens below))	Not for loan		187281

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Previous	T 632.9 M85D Development of firmware for microcontroller in pest management	T 632.9 M85D Development of firmware for microcontroller in pest management	T 632.9 S11A Application of stochastic estimation theory in pest management	T 632.9 S11A Application of stochastic estimation theory in pest management	T 632.9 S15S Stored grain pest control with some new insecticides	T 632.9 T78D Development of an agro-expert system	T 632.9 T78D Development of an agro-expert system	Next

A time series method of analysis is followed to identify and estimate the parameters of a dynamic model driven by white noise. The model can be then used for making one step ahead forecasts of the pest population using past and present value. A mean squar

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