scholarly journals The comparison of Lithuanian texts’ styles by using the statistical analysis of the universal quantitative characteristics

2010 ◽  
Vol 51 ◽  
Author(s):  
Karolina Piaseckienė ◽  
Marijus Radavičius ◽  
Raimundas Stiklius
Keyword(s):  
Statistical Analysis ◽  
Linear Models ◽  
Automatic Processing ◽  
Efficient Algorithms ◽  
Mathematical Statistics ◽  
Quantitative Characteristics ◽  
Language Styles ◽  
Text Content ◽  
Log Linear

Lithuanian language is quite complex and flexible, and its significantly complicates the development of efficient algorithms for the automatic processing of Lithuanian texts. For studying text-styles features were selected the universal quantitative characteristics that are unrelated to the text content and can be calculated for any text. This article shows how mathematical Statistics can help to distinguish and interpret the Lithuanian language styles. Studies of the log-linear models show theconnection between the letters and sounds structure and the scientific and fiction.

Tics and Heredity

1987 ◽  
Vol 150 (5) ◽  
pp. 628-634 ◽  
Author(s):  
D. M. Zausmer ◽  
M. E. Dewey
Keyword(s):  
Statistical Analysis ◽  
Linear Models ◽  
Statistical Analyses ◽  
Tourette's Syndrome ◽  
Reasonable Doubt ◽  
Tourette’S Syndrome ◽  
Genetic Transmission ◽  
Explanatory Variables ◽  
Simple Mode ◽  
Log Linear

The limited literature on the pedigrees of tiqueurs, including those with Gilles de la Tourette's syndrome, is reviewed. Most statistical analyses have been restricted to affected family members without specifying the unaffected ones. The present statistical analysis of a series of child tiqueurs, including 91 probands and 1293 first- and second-degree relatives, 46 of whom were tiqueurs, predicts the odds on being a tiqueur for individuals, and establishes how those odds are affected by certain explanatory variables using log-linear models. The data do not confirm a familial pattern beyond reasonable doubt, but if the suggested prevalence of tics in the population is 10% then the figure for parents is large enough to support a familial hypothesis. The pedigrees do not indicate a simple mode of genetic transmission. Further research is needed to confirm that there is a connection between childhood tics and Gilles de la Tourette's syndrome, to establish that the predisposition to tics is familial, and, if so, whether there is a complex genetic mechanism involved, or some other environmental aetiology so far undisclosed.

scholarly journals Market model analysis and forecasting behavior of watermelon production in Bangladesh

2014 ◽  
Vol 26 (1-2) ◽  
pp. 47-56
Author(s):  
Murshida Khanam ◽  
Umme Hafsa
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Linear Models ◽  
Time Series Data ◽  
Arima Model ◽  
Model Analysis ◽  
Market Model ◽  
Series Data ◽  
Log Linear

An attempt has been made to study various models regarding watermelon production in Bangladesh and to identify the best model that may be used for forecasting purposes. Here, supply, log linear, ARIMA, MARMA models have been used to do a statistical analysis and forecasting behavior of production of watermelon in Bangladesh by using time series data covering whole Bangladesh. It has been found that, between the supply and log linear models; log linear is the best model. Comparing ARIMA and MARMA models it has been concluded that ARIMA model is the best for forecasting purposes. DOI: http://dx.doi.org/10.3329/bjsr.v26i1-2.20230 Bangladesh J. Sci. Res. 26(1-2): 47-56, December-2013

Changes in the distribution of Poplar Box (Eucalyptus populnea) on major soil groups: An application of the log-linear model.

1981 ◽  
Vol 3 (1) ◽  
pp. 33 ◽  
Author(s):  
RB Cunningham ◽  
AA Webb ◽  
A Mortlock
Keyword(s):  
Statistical Analysis ◽  
Linear Model ◽  
Generalized Linear Models ◽  
Gradient Analysis ◽  
Linear Models ◽  
Geographic Location ◽  
Significance Tests ◽  
Log Linear ◽  
Eucalyptus Populnea ◽  
Soil Groups

The association of poplar box (Eucalyptus populnea) with five main soil groups is examined. A statistical analysis, using a log- linear model, indicated that the relative frequencies of poplar box sites occumng on major soil groups changed with geographic location. The change in distribution is shown to relate to climate, as indicated by summer and winter moisture indices and the diff- erence between them. This study illustrates the use of log-linear models in ecology; such models, and more generally, Generalized Linear Models, in providing significance tests, have advantages over the non-statistical methods of gradient analysis.

Latency models: the statistical analysis of response times

1982 ◽  
Vol 12 (3) ◽  
pp. 659-665 ◽  
Author(s):  
Graham Dunn ◽  
Din Master
Keyword(s):  
Statistical Analysis ◽  
Statistical Methods ◽  
Linear Models ◽  
Response Times ◽  
Descriptive Statistics ◽  
Failure Times ◽  
Log Linear

SYNOPSISThis paper introduces statistical methods suitable for the analysis of response, survival or failure times and, in particular, latencies measured in experiments on the speed of recall of memories. The discussion includes the use of simple descriptive statistics, as well as an explanation of the role of linear-logistic and log-linear models.

When and why are log-linear models self-normalizing?

2015 ◽  
Author(s):  
Jacob Andreas ◽  
Dan Klein
Keyword(s):  
Linear Models ◽  
Log Linear

Log-Linear Models with Dependent Spatial Data

1983 ◽  
Vol 15 (6) ◽  
pp. 801-813 ◽  
Author(s):  
B Fingleton
Keyword(s):  
Spatial Data ◽  
Statistical Models ◽  
Linear Models ◽  
Square Lattice ◽  
Categorical Variables ◽  
Systematic Sampling ◽  
Pairwise Correlations ◽  
Independent Observations ◽  
Intersection Points ◽  
Log Linear

Log-linear models are an appropriate means of determining the magnitude and direction of interactions between categorical variables that in common with other statistical models assume independent observations. Spatial data are often dependent rather than independent and thus the analysis of spatial data by log-linear models may erroneously detect interactions between variables that are spurious and are the consequence of pairwise correlations between observations. A procedure is described in this paper to accommodate these effects that requires only very minimal assumptions about the nature of the autocorrelation process given systematic sampling at intersection points on a square lattice.

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