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Ninth International Workshop on Statistical Modelling, Exeter 1994, Proceedings
Proceedings of the 9th International Workshop on Statistical Modelling held in Exeter, UK, July 11-15, 1994
[ Download Proceedings (for members only) ]
Contents
Invited and Contributed Papers
- R. Davies
- Allowing for overdispersion in flow and recurrent choice data
- C. Czado
- Modelling overdispersion in binomial regression
- P Goedhart
- The analysis of right-censored count data with and without overdispersion
- B Francis
- Poisson growth curves, temporal dependence and overdispersion - assessing treatment effects through repeated leaf counts
- P Lambert
- Modelling of repeated series of count data measured at unequally spaced times
- P Smith, J McDonald and J Forster
- Monte Carlo exact conditional tests for quasi-independence using Gibbs sampling
- J Lang
- On likelihood methods for generalized loglinear models
- J Van Horebeek and J Teugels
- Conditional and marginal independencies in nominal discrete data analysis
- N Crichton, J Hinde and J Marchini
- Models for diagnosing chest pain: Is CART useful?
- J Engel
- Some aspects of tree structured curve estimation with Haar-wavelets
- K Powell, T Sapatinas, T Bailey and W Krzanowski
- Application of wavelets to the pre-processing of underwater sounds
- R Little
- Modelling the drop-out mechanism in repeated-measures studies
- G Verbeke and E Lesaffre
- The effect of mis-specifying the random effects distribution in a linear mixed effects model
- C Taylor, K Pickering, A Pickles and Sutton
- The use of multi-level mixed glms as measurement models in repeated measures experimental data
- P Eilers
- Sign-constrained , monotone and convex non-parametric regression with asymmetric penalties
- R Colombi
- A class of log-linear models with parameters subject to non-linear constraints
- L Fahrmeir and J Klinger
- Estimating and testing generalized linear models under inequality restrictions
- Ch Minder and T Bednarski
- Robust proportional hazards regression in biomedical applications
- GH Oskrochi
- A non-parametric frailty model with a parametric and a semi-parametric hazard. An aplication of a counting process and multiplicative intensity model
- K Read and M Stasinopoulos
- Parametric changepoint models in survival analysis
- S Wagenpfeil
- Dynamic modelling and posterior mode smoothing in duration and competing risks models
- V Dardanoni and A Forcina
- A statistical approach to the comparison of mobility tables
- M Shoukri
- Estimation in mixture quasi-likelihood with power-of-the-mean variance function
- G Carmeci and D Gregori
- Modelling economic convergence: a GEE approach
- W Krzanowski
- Some distance measures for ordination of grouped multivariate data
- A Baccini, H Caussinus and A de Falguerolles
- Diabolic horseshoes
- P van der Heijden and J Dessens
- Incorporating continuous explanatory variables in latent class analysis
- R Hatzinger and W Katzenbeisser
- Latent variable models for repeated categorical data
- M Green
- Social indices and factor analysis for categorical variables
- C Payne, G Evans and A Heath
- Modelling the class/party relationship in Britain, 1964-92
- P Green
- Penalised likelihood in non-standard regression problems
- G Neubauer and M Schimek
- Cross-validated splines and generalized additive models: robustness, scale and variance aspects
- B Marx and P Eilers
- Direct generalized additive modelling without backfitting
- P Royston and D Altman
- Improved regression modelling of curved relationships
- R Rigby and M Stasinopoulos
- An additive model for the dispersion parameter of a generalised model
- R Gilchrist and G Portides
- Estimating the tuning constant for Huber's M-estimates
- P Sebastiani and R Settimi
- Planning experiments in non-linear situations
- D Firth and J Hinde
- D-optimum design for generalized linear and other nonlinear models
- W Muller
- Optimal design for moving averages
- C Vanderhoeft
- A decomposition method for fitting non-linear regression models with GLIM
- E Ackerley and M Green
- IRLS for non-exponential family distributions: model fitting in GLIM4
- J Stander
- Does Gibbs sampling really help? An example from image analysis
- J Mateu and F Montes
- Modelling pairwise interaction point processes
- D Clayton
- Bayesian estimation in generalized linear mixed models with some applications in Biostatistics
- B Engel and B Keen
- Analysis of glmms with iterated re-weighted REML
- R Waterman and B Lindsay
- Approximate conditional inference using projected score functions, with examples
- N Spencer and R Davies
- Consistent parameter estimation for lagged mutlilevel models
- H Friedl
- Bootstrap procedures in generalized linear models
- G Seeber
- Computer algebra in statistical modelling : some examples
- N Augustin, M Mugglestone and S Buckland
- The role of the Gibbs sampler in modeling the spatial distribution of wildlife from incomplete survey data
- J Kutylowski
- A comparison of strategies for the modelling of ordinal multiresponse data, with application to occupational prestige
- D Berridge
- Assessing the goodness of fit of regression models for ordinal categorical data
Posters
- J Blake, P Francino and J Francino
- Genetic algorithms for time series modelling
- E Foumeny, L Bailey and S Afandizadeh
- Structural aspects of packed bed design using statistical methods
- S Garside and J Whittaker
- Stochastic modelling of dynamic systems with SIMULINK
- D Hernandez-Rangel
- Nonparametric estimation of Markov chains transition functions
- M Ka Pui So, K Lam and W Keung Li
- The autoregressive random variance model for changing volatility: An alternative to the GARCH model
- C Li and W Li
- On a double threshold autoregressive heteroskedastic time series model
- N Neykov and D Vandev
- On the breakdown point properties of LME(k) and LTE(k) in the Gaussian and the Laplace p-th power linear regression
- M Ngadiman and A Watkins
- Modelling times series transfer functions using the NAG system
- A Cohen and M Dagan
- Confidence intervals for the between to within variance ratio
- P Green
- A Bayesian analysis of the multiple change-point problem for a Poisson Process
- D Greenhalgh and M Doyle
- Detecting replication of individuals in data in which they are identified only by date of birth
- P Neytchev
- REGRESS PC: A tool for statistical modelling. (Computer demonstration)
- R Omar
- Multistate models for the analysis of animal carcinogenicity experiments
- J Pigeon, J Heyse and H Glick
- Modelling the progression of symptomatology associated with benign prostatic hyperplasia
- C Schindler, O Brandli and SAPALDIA-Team
- Modelling percentiles of lung function variables
- E van der Burg, I Noordermeer and H de Haes
- Quality of life of cancer patients: a multi-set analysis
- R Wilson
- Dealing with incomplete data in longitudinal studies
- A Amaro
- Background modelling units definition. A methodology
- V. Barbur and A. Saunders
- Practical aspects of principal component analysis in multivariate statistical process control
- J Bell
- Modelling long-term ecological change in an Oxfordshire woodland
- M Cortina-Borja
- A comparison of nonparametric correlation tests
- D Elston and M Proe
- Smoothing regression coefficients in an overspecified regression model with inter-related x-variables
- M Green and M Ismail
- A semi-parametric method of imputing missing data via surrogate variable in regression model
- J Juritz and M Mills
- Modelling counts of hyaena populations
- S Mejza
- A note on the modelling of long-term field experiments
- J Stander, A Frigessi and F Divino
- Incorporating Geographical Information Systems into Bayesian remote sensing
- P Yu and K Lam
- Permutation model for duplicate bridge tournament data
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