Results 31 to 40 of about 1,888,863 (293)
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1972 Summary Log-linear models are extensively used to analyse categorical and “stimulus-response” data. This paper gives an iterative procedure for obtaining maximum likelihood estimates of cell frequencies and of the parameters of a log-linear model in a multinomial experiment.
openaire +2 more sources
Communication cost of consensus for nodes with limited memory
, 2019 Motivated by applications in blockchains and sensor networks, we consider a model of $n$ nodes trying to reach consensus on their majority bit. Each node $i$ is assigned a bit at time zero, and is a finite automaton with $m$ bits of memory (i.e., $2^m ...
Fanti, Giulia +3 more
core +1 more source
Estimation of the growth curve parameters in Macrobrachium rosenbergii [PDF]
, 2011 Growth is one of the most important characteristics of cultured species. The objective of this study was to determine the fitness of linear, log linear, polynomial, exponential and Logistic functions to the growth curves of Macrobrachium rosenbergii ...
Gopal, Krishna +3 more
core
Maximum likelihood estimation in log-linear models
, 2012 We study maximum likelihood estimation in log-linear models under conditional Poisson sampling schemes. We derive necessary and sufficient conditions for existence of the maximum likelihood estimator (MLE) of the model parameters and investigate ...
Fienberg, Stephen E. +1 more
core +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Log-linear learning model for predicting a steady-state manual assembly time
Nonlinear Analysis, 2014 This paper presents the method for estimating the parameters of a two parameter learning curve (LC). Different values of parameters and different sample sizes are used for this estimation.
Vytautas Kleiza, Justinas Tilindis
doaj +1 more source
Improved Bounds for 3SUM, $k$-SUM, and Linear Degeneracy [PDF]
, 2017 Given a set of $n$ real numbers, the 3SUM problem is to decide whether there are three of them that sum to zero. Until a recent breakthrough by Gr{\o}nlund and Pettie [FOCS'14], a simple $\Theta(n^2)$-time deterministic algorithm for this problem was ...
Gold, Omer, Sharir, Micha
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
The log-linear group-lasso estimator and its asymptotic properties
, 2011 We define the group-lasso estimator for the natural parameters of the exponential families of distributions representing hierarchical log-linear models under multinomial sampling scheme.
Nardi, Yuval, Rinaldo, Alessandro
core +2 more sources
Lempel-Ziv Factorization May Be Harder Than Computing All Runs [PDF]
, 2014 The complexity of computing the Lempel-Ziv factorization and the set of all runs (= maximal repetitions) is studied in the decision tree model of computation over ordered alphabet.
Kosolobov, Dmitry
core +3 more sources