Growth Curve Models and Applications

Growth Curve Models and Applications

Indian Statistical Institute, Giridih, India, March 28-29, 2016

Dasgupta, Ratan

Springer International Publishing AG

08/2018

253

Mole

Inglês

9783319876634

15 a 20 dias

454

Descrição não disponível.
Ratan Dasgupta, Indian Statistical Institute: Plant sensitivity under severe injury and growth curve of yam.

Sanchari Roy and T.S.Vasulu, Indian Statistical Institute: Modeling of abnormal proteins related to PARK1 and PARK 8 loci involved in autosomal dominant Parkinson's disease and docking the proteins with appropriate ligands.

Ratan Dasgupta and Anwesha Pan, Indian Statistical Institute: Ovulation time detection in presence of Polycystic Ovary Syndrome.

Monoranjan Ghosh, Indian Statistical Institute: Ecology, Conservation and Utilization of Endangered Species of Rattan Palms in Northeast India.

Ratan Dasgupta, Indian Statistical Institute: Some recent results on coconut tree growth in saline soil.

Susmita Bharati, Manoranjan Pal, Madhuparna Srivastava and Premananda Bharati, Indian Statistical Institute: Growth rates of height, weight, MUAC and body fat of Primary School Children

in Kolkata, India.
Ratan Dasgupta, Indian Statistical Institute: Growth Curve estimation from incomplete data.

Sattwik Santra and Samarjit Das, Centre for Studies in Social Sciences and Indian Statistical Institute: Tackling poverty through balanced growth: A study on India.

Ratan Dasgupta, Indian Statistical Institute: Model selection and validation in agricultural context of growth curve.

Ratan Dasgupta, Indian Statistical Institute: Growth curve of Elephant foot yam under different level of stress: A technique to increase yield.

Prasanta Pathak, Indian Statistical Institute: Temporal variation in ageing of population & replacement by young dependents in developed and developing states in India.
Ratan Dasgupta, Indian Statistical Institute: Growth Curve of Elephant foot yam in Sunderban.
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growth curve;modeling;model validation;poverty;Parkinsons disease;plant sensitivity;longitudinal studies;biostatistics;population;economics;sociology;biotechnology;nano;fluid mechanics;biomass;fungal growth