Measurement and stochastic

After four centuries a quote from Galileo Galilei is still the most effective way to introduce a Metrology book: “Measure what is measurable, and make measurable what is not so”. Every human activity needs an objective measurement and every global process should be supported by a common standard. There are several handbooks, tutorials and journals that focus on the basic concepts of metrology, the uncertainty theory and the international reference standards. Moreover, the engineering literature is awash with measurement methods for each specific field.
470p wqwqwqwqwq 09072012 68 9 Download

We present a new approach to stochastic modeling of constraintbased grammars that is based on loglinear models and uses EM for estimation from unannotated data. The techniques are applied to an LFG grammar for German. Evaluation on an exact match task yields 86% precision for an ambiguity rate of 5.4, and 90% precision on a subcat frame match for an ambiguity rate of 25. Experimental comparison to training from a parsebank shows a 10% gain from EM training.
8p bunrieu_1 18042013 36 1 Download

The content of Strategies, operations and safety in airline industry: Part 1 includes: a financial history and analysis of the U.S. airline industry, airline operations control: a new concept for operations recovery, outsourcing strategies of fullservice airlines: an application of two theoretical perspectives, the pricing strategy of Ryanair, measuring and benchmarking airport efficiency: an application of data envelopment analysis and stochastic frontier analysis.
171p lequangvinh1608 09082019 12 0 Download

This research monograph concerns the design and analysis of discretetime approximations for stochastic differential equations (SDEs) driven by Wiener processes and Poisson processes or Poisson jump measures. In financial and actuarial modeling and other areas of application, such jump diffusions are often used to describe the dynamics of various state variables. In finance these may represent, for instance, asset prices, credit ratings, stock indices, interest rates, exchange rates or commodity prices.
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Changing time, timely change, change creating time, time measuring changeÐthe themes of this book are change and time in various per mutations and combinations. The book also deals with nonlinearity, chaos, randomness, and stochastic models, the use of computers to study complicated systems of di¨erential equations, systems theory, complemen tarity, the importance of formal models, methods from physics and mathe matics for the analysis of cognitive systems, and interdisciplinarity, among other topics.
371p banhkem0908 24112012 51 4 Download

This Report addresses in considerable detail the consequences of hot particles on and near the skin, in the eye, ear, respiratory system, and gastrointestinal tract. Limits for exposures from hot particles are recommended. If exposures are maintained below the recommended limits, few, if any, deterministic biological effects are expected to be observed, and those effects would be transient in nature. If effects from a hotparticle exposure are observed, the result is an easily treated medical condition involving an extraordinarily small stochastic risk.
267p camchuong_1 04122012 34 4 Download

Measurement of efficiency started with Farrell (1957) who, following Debreu (1951) and Koopmas (1951), proposed a division of efficiency into two components: technical efficiency, which represents a firm’s ability to produce a maximum level of output from a given level of inputs, and allocative efficiency, which is the ability of a firm to use inputs in optimal proportions, given their respective prices and available technology. The combination of these two measures yields the level of economic efficiency.
87p loixinloi 08052013 53 4 Download

V an isometry, as in the theorem of Plancherel, is not just a weighted L2norm on some measure space. This is due to the fact that the back transformation Z has a different expression on each branch, and this is caused by the ramification of the domain. It is not clear to us how one could find a family of generalized eigenfunctions leading to a spectral representation of A.
0p camchuong_1 04122012 50 3 Download

The second question requires that we build an understanding of how the policy instrument effects production and productive efficiency. Our approach is similar to recent stochastic frontier analyses with panel data (Cornwell et al. (1990), Kumbhakar (1990)), which allow intercepts and some coefficients of the production function to vary between firms and over time.
92p loixinloi 08052013 67 3 Download

This document includes: Measurement of efficiency, Mathematical programming models: the nonparametric approach, Stochastic frontier models: the parametric approach.
27p tunghai08 28062015 44 3 Download

This paper discusses the supervised learning of morphology using stochastic transducers, trained using the ExpectationMaximization (EM) algorithm. Two approaches are presented: ﬁrst, using the transducers directly to model the process, and secondly using them to deﬁne a similarity measure, related to the Fisher kernel method (Jaakkola and Haussler, 1998), and then using a MemoryBased Learning (MBL) technique. These are evaluated and compared on data sets from English, German, Slovene and Arabic. ...
8p bunmoc_1 20042013 28 2 Download

A number of metrics for automatic evaluation of machine translation have been proposed in recent years, with some metrics focusing on measuring the adequacy of MT output, and other metrics focusing on ﬂuency. Adequacyoriented metrics such as BLEU measure ngram overlap of MT outputs and their references, but do not represent sentencelevel information. In contrast, ﬂuencyoriented metrics such as ROUGEW compute longest common subsequences, but ignore words not aligned by the LCS.
8p hongvang_1 16042013 41 1 Download

This paper compares different measures of graphemic similarity applied to the task of bilingual lexicon induction between a Swiss German dialect and Standard German. The measures have been adapted to this particular language pair by training stochastic transducers with the ExpectationMaximisation algorithm or by using handmade transduction rules. These adaptive metrics show up to 11% Fmeasure improvement over a static metric like Levenshtein distance.
6p hongvang_1 16042013 34 1 Download

In some computer applications of linguistics (such as maximumlikelihood decoding of speech or handwriting), the purpose of the languagehandling component (Language Model) is to estimate the linguistic (a priori) probability of arbitrary naturallanguage sentences.
3p buncha_1 08052013 30 1 Download

For a given finite positive measure on an interval I ⊆ R, a multiple stochastic integral of a Volterra kernel with respect to a product of a corresponding Gaussian orthogonal stochastic measure is introduced. The Volterra kernel is taken such that the multiple stochastic integral is a multiple iterated stochastic integral related to a parameterized Hermite polynomial, where parameter depends on Gaussian distribution of an underlying onedimensional stochastic integral.
14p danhnguyentuongvi27 19122018 7 0 Download

This paper uses data from the National Surveys‟ data from the Living Standards Measurement Study and the Integrated Surveys on Agriculture for Mali of 2014 to analyze socioeconomic, pedological and climate determinants of producers‟ technical efficiency in Mali. To do so, a stochastic production frontier was estimated for each crop category and the full sample.
10p jcript 23052019 11 0 Download

This paper measures the cost inefficiency of Vietnamese commercial banks from 2011 to 2014. Stochastic frontier analysis (SFA) is used to estimate the cost frontier. The average cost inefficiency of the whole banking system is 7.36% under intermediation approach. Findings show that stateowned banks and banks with bigger size are more efficient than joint stock or smaller ones. Negative relationships are found between efficiency and deposittoloan ratio as well as bank‟s age.
10p chauchaungayxua2 04012020 59 0 Download

The PartiallyObserved Boolean Dynamical System (POBDS) signal model is distinct from other deterministic and stochastic Boolean network models in removing the requirement of a directly observable Boolean state vector and allowing uncertainty in the measurement process, addressing the scenario encountered in practice in transcriptomic analysis.
8p viconnecticut2711 29102020 8 0 Download

The Stochastic Process Model (SPM) represents a general framework for modeling the joint evolution of repeatedly measured variables and timetoevent outcomes observed in longitudinal studies, i.e., SPM relates the stochastic dynamics of variables (e.g., physiological or biological measures) with the probabilities of end points (e.g., death or system failure).
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The paper aims to enrich previous findings for an emerging banking industry such as Vietnam, reporting the difference between the parametric and nonparametric methods when measuring cost efficiency. The purpose of the study is to assess the consistency in issuing policies to improve the cost efficiency of Vietnamese commercial banks.
19p trinhthamhodang9 10122020 8 0 Download