generalized linear models australian school children

... 140 Australian school children aged - 10 years Angela M Evans Abstract Background: Many studies have found a positive relationship between increased body weight and flat foot posture in children ... sample of Australian school children aged seven to ten years Methods Ethical approval was obtained from the Human Research and Ethics committee at the University of South Australia Two primary schools ... overweight children per year of age [33] As depicted in Table 3, 55/140 children were classified as overweight using the IOTF criteria Flat feet were found in 31/140 children Only children with...

Ngày tải lên: 10/08/2014, 21:24

... Lee Y, Nelder JA: Double hierarchical generalized linear models (with discussion) Appl Stat 2006, 55:139-185 Lee Y, Nelder JA: Hierarchical generalized linear models (with Discussion) J R Stat Soc ... package for fitting hierarchical generalized linear models R Journal (accepted) 2010 Breslow NE, Clayton DG: Approximate inference in generalized linear mixed models J Am Stat Ass 1993, 88:9-25 ... squared residuals with a gamma generalized linear mixed model However, Lee & Nelder [10] have recently developed the framework of double hierarchical generalized linear models (DHGLM) The parameters...

Ngày tải lên: 14/08/2014, 13:21

... (1993) Approximate inference in generalized linear mixed models J Am Stat Assoc 88, 9-25 Cordeiro GM, McCullagh P (1991) Bias correction in generalized linear models J R Stat Soc B 53, 629-643 ... P, Nelder JA (1989) Generalized Linear Models Chapman and Hall, London, UK, 2nd edn Meyer K (1989) Restricted maximum likelihood to estimate variance components for animal models with several ... 3, 339-350 Rao CR (1973) Linear Statistical Inference and its Applications John Wiley & Sons, New York, USA, 2nd edn Schall R (1991) Estimation in generalized linear models with random effects...

Ngày tải lên: 09/08/2014, 18:21

... Karim MR (1991) Generalized linear models with random effects; a Gibbs sampling approach J Am Stat Assoc 86, 79-86 Zeger SL, Liang KY, Albert PS (1988) Models for longitudinal data: a generalized ... estimation of variance components in Poisson mixed models using Laplace integration Genet Sel Evol (submitted) Thompson R (1990) Generalized linear models and applications to animal breeding In: ... (1984) Extra-Poisson variation in log -linear models Appl Stat 33, 38-44 Breslow NE, Clayton DG (1992) Approximate Inference in Generalixed Linear Mixed Models Tech Rep No 106, Univ Washington,...

Ngày tải lên: 14/08/2014, 19:22

... Linear Models 3.1 3.2 3.3 3.4 35 Introduction Inference in Generalized Linear Models Diagnostics and Model Fit Generalized Linear Modeling versus Transformations 35 37 46 52 Chapter Linear Mixed Models ... so ware for generalized linear models appeared in the mid 1980s, the first so ware for linear mixed models in the 1990s, and the first truly usable so ware for generalized linear mixed models appeared ... Biometrics 42:121–130 doi:10.2307/2531248 CHAPTER GENERALIZED LINEAR MODELS 3.1 INTRODUCTION Generalized linear models extend normal theory linear models to response variables whose distributions...

Ngày tải lên: 14/05/2015, 11:41

... Sampling on Generalized Linear Models 90 5.1.1 Studies on generalized linear models with weighted Binomial distributions 5.1.2 91 Studies on generalized linear models ... Chapter Generalized Additive Models with Weighted Exponential Families The generalized linear models have been further extended to a larger class of statistical models called generalized additive models ... Studies on generalized linear models with weighted Gamma distributions 98 5.2 The Effect of Weighted Sampling on Generalized Additive Models 99 5.2.1 Studies on generalized...

Ngày tải lên: 16/09/2015, 08:30

... identification was seen in ten children of the young group and 11 children of the old group Discussion The free naming of odors proved to be a difficult task for the school children That is not surprising, ... years that learning motivation of school children decrease over the elementary school years The present study shows that sensory education has potential in activating children s chemosensory awareness ... appealed both to children and school staff It provided a positive and enjoyable way of highlighting food-related sensory issues in the school, as seen in focus group interviews of children and parents...

Ngày tải lên: 03/04/2013, 21:07

... 20%) children to be analyzed Of these, 4606 were Steiner school children and 2024 reference children In total, 28% of all included children provided a blood sample (1202 Steiner school children ... among children with blood sample; 1202 Steiner school children, 634 reference children Atopic sensitization refers to an allergen specific serum IgE level  0.35 kU/L among the Steiner school children ... countries among children age to 13 years The design has been described in detail elsewhere.7 This report focuses on children attending Steiner schools, as well as referents from non-Steiner schools in...

Ngày tải lên: 12/02/2014, 19:20

... Multivariate Dynamic Generalized Linear Models Journal of the American Statistical Association 87, 501–509 Fahrmeir, L., W Hennevogl, and K Klemme (1992) Smoothing in dynamic generalized linear models by ... and Tutz (2001)) to analyse air pollution and health data Dynamic generalised linear models extend generalised linear models by allowing the regression parameters to evolve over time via an autoregressive ... suggests areas for future work Bayesian Dynamic generalised linear models A Bayesian dynamic generalised linear model extends a generalised linear model by allowing a subset of the regression parameters...

Ngày tải lên: 17/02/2014, 10:20

... consider the use of generalized additive models for retrieval fusion Generalized Additive Models Generalized Additive Models (GAMs) are a generalization of Generalized Linear Models (GLMs), 463 ... transformation, and assume Yi is Normal, then our GLM reduces to a simple linear model But GLMs are considerably more versatile than linear models First, rather than only the Normal distribution, the response ... logit transformation, g(µi ) = logit(µi ) = log µi − µi Generalized additive models allow for additional model flexibility by allowing the linear predictor to now also contain learned smooth functions...

Ngày tải lên: 08/03/2014, 01:20

... for L1-regularized loglinear models Experimental results are presented in Section Some related work is discussed in Section Section gives some concluding remarks Log -Linear Models In this section, ... algorithm pact and accurate models much more quickly than the OWL-QN algorithm This paper is organized as follows Section provides a general description of log -linear models used in NLP Section ... remarks Log -Linear Models In this section, we briefly describe log -linear models used in NLP tasks and L1 regularization A log -linear model defines the following probabilistic distribution over...

Ngày tải lên: 17/03/2014, 01:20

... is more serious for log -linear models of around 10 features and focus on it in this work To truly achieve the benefits of re-ranking in MT, one must go beyond the log -linear model The reranker ... difference of BLEU The final classifier f T can be seen as a voting procedure among multiple log -linear models generated by MERT The weighted vote for hypotheses in an N-best list xi is represented ... outperforms MERT by 0.8 points on Eval Related Work Various methods are used to optimize log -linear models in re-ranking (Shen et al., 2004; Venugopal et al., 2005; Smith and Eisner, 2006) Although...

Ngày tải lên: 23/03/2014, 17:20

... syntactic model should make it so Log -Linear Models We have not yet specified the form of our probabilistic model, only that it is parameterized by θ ∈ Rn Log -linear models, which we will show are a ... (upper box) and unsupervised (lower box) estimation with log -linear models in terms of Eq where Ai ⊂ Bi (for each i) For log -linear models this is simply (x,y)∈Ai i (x,y)∈Bi u x, y | θ (6) u x, ... most models were the best on their own criterion, and among unsupervised models, L ENGTH performed best on the CL criterion 360 RB∗ →ADV) To take better advantage of the power of loglinear models specifically,...

Ngày tải lên: 23/03/2014, 19:20

... dependencies Log -linear models (also known as Maximum Entropy models) are popular in NLP because of the ease with which discriminating features can be included in the model Log -linear models have ... Gaussian prior for smoothing maximum entropy models Technical report, Carnegie Mellon University, Pittsburgh, PA Stephen Clark and James R Curran 2003 Log -linear models for wide-coverage CCG parsing ... structure (1), the objective function is as follows: L (Λ) = L(Λ) − G(Λ) (4) m = log Log -Linear Parsing Models eλ f (ω ) ZS = n PΛ (π j |S j ) − j=1 i=1 m d∈∆(π j ) log = j=1 eλ f (ω) − log j=1...

Ngày tải lên: 23/03/2014, 19:20

... Dean’s Welcome Welcome to the Australian School of Business at The University of New South Wales The Australian School of Business is committed to being a leading business school renowned for its teaching, ... are, a degree from the Australian School of Business will open up a world of opportunity Let us help you become the best you can be Professor Alec Cameron Dean, Australian School of Business The ... Deutsche Bank, Ernst & Young, Goldman Sachs JBWere, RBS, UBS, Westpac, and the Australian School of Business 8/9 Australian School of Business Enriching experience ‘I chose UNSW because I was attracted...

Ngày tải lên: 29/03/2014, 19:20

... metrics for natural language tasks from two broadly applicable classes: linear and nonlinear A linear metric is a sum (or other linear combination) of the loss or gain on individual sentences Accuracy—in ... (e.g., the reference translation(s)) to the hypothesis set during training For such models, γ merely aids the nonlinear optimizer in its search, by making it easier to scale all of θ at once 789 ... parsing Thanks to the linearity of expectation, we can easily compute our expected loss in equation (6) by adding up the expected loss on each sentence Some other metrics involve nonlinear combinations...

Ngày tải lên: 31/03/2014, 01:20

... coverage as features Our experiments show that log -linear models significantly outperform IBM translation models We begin by describing log -linear models for word alignment The design of feature ... search algorithm for log -linear models We will follow with our experimental results and conclusion and close with a discussion of possible future directions Log -linear Models Formally, we use ... words, our loglinear models share GIZA++ with the same parame464 ters apart from POS transition probability table and bilingual dictionary Table compares the results of our log -linear models with...

Ngày tải lên: 31/03/2014, 03:20

... General properties of models 4.1.1 Generalized models in two dimensions 4.1.2 Structure of generalized models in three dimensions 4.1.3 Generalized models in the plate ... Appendix B In Chapter the generalized models are analyzed from the point of view of accuracy, limitations and possible generalizations The structure of generalized models and the reasons for ... basing on it procedure of generalized models construction to be proclaimed, which is done in Section 3.1 Other Sections of Chapter deal with particular generalized models of inhomogeneities in...

Ngày tải lên: 03/06/2014, 01:14

... HRQOL among school children was confirmed School settings are areas with a potential for changes that can improve school children' s self-efficacy and health The school is important for children' s ... them [9] School settings are areas with potential for changes that can improve school children' s health, well-being and selfefficacy School staff and health professionals can help school children ... parents, 41 children (9%) were absent from school on the day of the study, 30 children (7%) received the wrong questionnaire, and 11 children (2%) declined to participate Procedure The school children...

Ngày tải lên: 18/06/2014, 19:20

... status of children was successfully collected using the SF-10 for Children survey instrument Also, baseline BMI and health status data were determined for a population of elementary school children ... among elementary school students to gain insight about correlates of early onset of obesity Methods The SF-10 for Children is a brief 10-item questionnaire designed to measure children' s HRQOL ... investigation surveyed parents of children enrolled in an elementary school, kindergarten to fourth grade, in southern Mississippi Parents completed the SF-10 for Children on a voluntary basis...

Ngày tải lên: 18/06/2014, 19:20