Analysis of data from non-orthogonal multistratum designs in industrial experiments /

QR Code (код быстрого отклика)

Analysis of data from non-orthogonal multistratum designs in industrial experiments /

Сохранить в:

Библиографические подробности
Главный автор:	Gilmour, Steven G.
Другие авторы:	Goos, Peter.
Формат:	Статья
Язык:	English
Предметы:	Bayesian methods Coffee Effective degrees of freedom Freeze-drying Generalized least squares Hard-to-set factors Likelihood Markov chain Monte Carlo methods Residual maximum likelihood Response surface Split-plot experiment
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Схожие документы

Realtime sequential inference of static parameters with expensive likelihood calculations /
по: Robins, P.

Spatial and temporal heterogeneity in nucleotide sequence evolution /
по: Whelan, Simon

Markov chain Monte Carlo : stochastic simulation for Bayesian inference.
по: Gamerman, Dani.
Опубликовано: (2006)

Joint modelling of survival and cognitive decline in the Australian Longitudinal Study of Ageing /
по: Graham, Petra L.

Influence function for robust phylogenetic reconstructions /

Randomized algorithms : approximation, generation, and counting /
по: Bubley, Russ, 1974-
Опубликовано: (2001)

Phylogenetic methods in biogeography /
по: Ronquist, Fredrik.

A perfect smoother /
по: Eilers, Paul H. C.

Redundancy of moment conditions and the efficiency of OLS in sur models : Notes and problems /
по: Qian, Hailong.

A
по: Fishman, George S.
Опубликовано: (2006)

A first course in Monte Carlo / George S. Fishman
по: George S. Fishman
Опубликовано: (2006)

A maximum likelihood method for detecting directional evolution in protein sequences and its application to influenza a virus /

Missing data in a stochastic Dollo model for binary trait data, and its application to the dating of Proto-Indo-European /
по: Ryder, Robin J.

Evaluating a continuous biomarker for infection by using observed disease status with covariate effects on disease /
по: Jones, Geoffrey.

Approximate Bayesian computation using indirect inference /
по: Drovandi, Christopher C.

High dimensional structured additive regression models : Bayesian regularization, smoothing and predictive performance /
по: Kneib, Thomas.

Regularized Mixtures of Experts in High-Dimensional Data
по: Faicel, Chamroukhi, et al.
Опубликовано: (2023)

Therapeutic applications of Monte Carlo calculations in nuclear medicine
по: Zaidi, Habib, et al.
Опубликовано: (2014)

Fast Bayesian analysis of spatial dynamic factor models for multitemporal remotely sensed imagery /

Approximate Bayesian computation in evolution and ecology /
по: Beaumont, Mark A.

Population-based reversible jump Markov chain Monte Carlo methods for Bayesian variable selection and evaluation under cost limit restrictions /
по: Fouskakis, D.

A Bayesian hierarchical mixture model for platelet-derived growth factor receptor phosphorylation to improve estimation of progression-free survival in prostate cancer /

Approximate ML detection with the best channel matrix selection for MIMO systems /
по: Kim, Seong-Cheol.

Dealmaking :
по: Razgaitis, Richard
Опубликовано: (2003)

Minimization of computational costs of non-analogue Monte Carlo methods /
по: Mikhaikov, G. A.
Опубликовано: (1991)

Dealmaking : using real options and Monte Carlo analysis /
по: Razgaitis, Richard.
Опубликовано: (2003)

Minimization of computational costs of non-analogue Monte Carlo methods /
по: Mikhaikov, G. A.
Опубликовано: (1991)

Fundamentals of the Monte Carlo method for neutral and charged particle transport
по: Bielajew, Alex F
Опубликовано: (2013)

Phương pháp Monte Carlo và trường hợp chọn mẫu Gibbs :
по: Trần, Thị Út Thi
Опубликовано: (2016)

Phương pháp Monte Carlo và ứng dụng trong thuật toán cực đại hóa kỳ vọng :
по: Trần, Thị Ngọc Hân
Опубликовано: (2018)

Một số thuật toán Monte Carlo và ứng dụng :
по: Lê, Quý Thông
Опубликовано: (2020)

A partially linear regression model for data from an outcome-dependent sampling design /

Modeling tuberculosis dynamics with the presence of hyper-susceptible individuals for Ho Chi Minh City from 1996 to 2015
по: Dao, Nguyen Vinh

Extremely intron-rich genes in the alveolate ancestors inferred with a flexible maximum-likelihood approach /
по: Csuros, Miklos.

Demand and roughness estimation in water distribution systems /
по: Kang, Doosun.

A Monte Carlo study of the radiation quality dependence of DNA fragmentation spectra /

Freeze-Drying/Lyophilization Of Pharmaceutical & Biological Products :
по: Georg-Wilhelm
Опубликовано: (2004)

Modeling sites of RNA editing as a fifth nucleotide state reveals progressive loss of edited sites from angiosperm mitochondria /
по: Mower, Jeffrey P.

A mixed branch length model of heterotachy improves phylogenetic accuracy /
по: Kolaczkowski, Bryan.

An improved general amino acid replacement matrix /
по: Le, Si Quang.