963 resultados para Statistics and probability
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Tämän tutkielman tavoitteena on selvittää informaatio- ja kommunikaatioyhteiskunnan vaikutusta paperin kulutukseen maailmanlaajuisesti. Tarkoituksena on löytää informaatio- ja kommunikaatioyhteiskuntaa kuvaavia mittareita, joiden avulla voidaan vertailla kehittyneitä ja kehittyviä markkina-alueita keskenään. Tutkimusongelmaan haetaan ratkaisua tutkimalla sekä kirjallisuutta että tilastoja, ja vertaamalla niitä esitettyihin teorioihin informaatio- ja kommunikaatioyhteiskunnan kehityksestä. Tutkielman avulla pyritään arvioimaan ja kuvaamaantoimintaympäristön muutoksia paperin kulutuksen suhteen pitkällä aikavälillä informaatio- ja kommunikaatioyhteiskunnan näkökulmasta.
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Statistics has become an indispensable tool in biomedical research. Thanks, in particular, to computer science, the researcher has easy access to elementary "classical" procedures. These are often of a "confirmatory" nature: their aim is to test hypotheses (for example the efficacy of a treatment) prior to experimentation. However, doctors often use them in situations more complex than foreseen, to discover interesting data structures and formulate hypotheses. This inverse process may lead to misuse which increases the number of "statistically proven" results in medical publications. The help of a professional statistician thus becomes necessary. Moreover, good, simple "exploratory" techniques are now available. In addition, medical data contain quite a high percentage of outliers (data that deviate from the majority). With classical methods it is often very difficult (even for a statistician!) to detect them and the reliability of results becomes questionable. New, reliable ("robust") procedures have been the subject of research for the past two decades. Their practical introduction is one of the activities of the Statistics and Data Processing Department of the University of Social and Preventive Medicine, Lausanne.
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The experiment evaluated the agronomic characteristics of 'Prata-anã' and 'Maçã' banana plants, in the São Manuel region of São Paulo state. In the first crop cycle, the number of days from planting to inflorescence and from inflorescence to harvest; the number of shoots until the appearance of inflorescence and during the harvest period; active leaves number at inflorescence appearance and during the harvest period. Were evaluated yield parameters: like average weight of bunch, hand, rachis and fruit; average fruit number per hand and bunch; average fruit diameter and length. Incidences of plague diseases, as well as their severity were also evaluated. Delineation was totally at random, with 2 treatments, 15 replications and 5 useful plants per experimental plot. Both cultivars were characterized by values of descriptive average statistics and standard deviation, for characteristic interests. Number of days from planting to harvest was similar for both 'Prata-anã' and 'Maçã', 574 and 567 days respectively. Banana plants showed good phytosanitary quality throughout the whole cycle.
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This work was carried out to show the current situation of the temperate fruit crops in São Paulo state, Brazil, with an emphasis on grapes, peaches, apples, plums, nectarines and pears crops. Current economic data of crops, major growing regions, main cultivars produced, as well as the new technologies generated by research are presented. Regarding the grape crop, a decrease in the national production as well as in the major growing states was observed. The main grapes growing centers in São Paulo state are presented, highlighting its peculiarities regarding cultivars, cultural crop management and current researches. A trend has been observed toward increasing Niagara Rosada grape growing area rather than the fine table grape cultivars. It was also observed the adoption of cultural practices, aiming to increase productivity, to improve the fruits quality and to reduce manpower necessity. In terms of stone fruits, peaches are the most widely cultivated in São Paulo state, followed by plums and nectarines. Both for stone fruits crop and for apples and pears crops, statistics and comments are presented on the crops evolution as well as the current researches results and the requirements of these fruit crops in São Paulo state, Brazil.
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Evolutionary developmental biology has grown historically from the capacity to relate patterns of evolution in anatomy to patterns of evolution of expression of specific genes, whether between very distantly related species, or very closely related species or populations. Scaling up such studies by taking advantage of modern transcriptomics brings promising improvements, allowing us to estimate the overall impact and molecular mechanisms of convergence, constraint or innovation in anatomy and development. But it also presents major challenges, including the computational definitions of anatomical homology and of organ function, the criteria for the comparison of developmental stages, the annotation of transcriptomics data to proper anatomical and developmental terms, and the statistical methods to compare transcriptomic data between species to highlight significant conservation or changes. In this article, we review these challenges, and the ongoing efforts to address them, which are emerging from bioinformatics work on ontologies, evolutionary statistics, and data curation, with a focus on their implementation in the context of the development of our database Bgee (http://bgee.org). J. Exp. Zool. (Mol. Dev. Evol.) 324B: 372-382, 2015. © 2015 Wiley Periodicals, Inc.
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With increasing migration and linguistic diversification in many countries, survey researchers and methodologists should consider whether data provided by individuals with variable levels of command of the survey language are of the same quality. This paper examines the question of whether answers from resident foreign respondents who do not master available survey languages may suffer from problems of comprehension of survey items, especially items that are more complicated in terms of content and/or form. In addition, it addresses the extent to which motivation may affect the response quality of resident foreigners. We analyzed data from two large-scale surveys conducted in Switzerland, a country with three national languages and a burgeoning foreign population, employing a set of dependent measures of response quality, including don't know responses, extreme responding, mid-5 responding, recency effects, and straight-lining. Results show overall poorer response quality among foreigners, and indicate that both reduced language mastery and motivation among foreigners are relevant factors. This is especially true for foreign groups from countries that do not share a common language with those spoken in Switzerland. A general conclusion is that the more distant respondents are culturally and linguistically from the majority mainstream within a country, the more their data may be negatively affected. We found that more complex types of questions do generally lead to poorer response quality, but to a much lesser extent than respondent characteristics, such as nationality, command of the survey language, level of education, and age.
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The linear prediction coding of speech is based in the assumption that the generation model is autoregresive. In this paper we propose a structure to cope with the nonlinear effects presents in the generation of the speech signal. This structure will consist of two stages, the first one will be a classical linear prediction filter, and the second one will model the residual signal by means of two nonlinearities between a linear filter. The coefficients of this filter are computed by means of a gradient search on the score function. This is done in order to deal with the fact that the probability distribution of the residual signal still is not gaussian. This fact is taken into account when the coefficients are computed by a ML estimate. The algorithm based on the minimization of a high-order statistics criterion, uses on-line estimation of the residue statistics and is based on blind deconvolution of Wiener systems [1]. Improvements in the experimental results with speech signals emphasize on the interest of this approach.
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Cette thèse analyse la co-évolution de deux secteurs dans la politique de la santé: santé publique (public health) et soins aux malades (health care). En d'autres termes, la relation entre les dimensions curative et préventive de la politique de la santé et leur développement dans la durée. Une telle recherche est nécessaire car les problèmes de la santé sont complexes et ont besoin de solutions coordonnées. De plus, les dépenses de la santé ont augmenté sans arrt durant les dernières décennies. Un moyen de réduire une future augmentation des dépenses pourrait consister en davantage d'investissement dans des mesures préventives. En relation avec cette idée, ma recherche analyse les politiques de la santé publique et les soins aux malades de cinq pays: Allemagne, Angleterre, Australie, Etats-Unis et Suisse. En m'appuyant sur la littérature secondaire, des statistiques descriptives et des entretiens avec des experts et des politiciens, j'analyse la relation entre les deux secteurs depuis la fin du dix-neuvième siècle. En particulier, je me focalise sur la relation des deux champs sur trois niveaux: institutions, acteurs et politiques. Mes résultats montrent les similitudes et les différences d'évolution entre les cinq pays. D'un c^oté, lorsque la profession médicale est politiquement active et que le pays consiste en une fédération centralisée ou en un gouvernement unitaire, les deux secteurs sont intégrés au niveau institutionnel, ralliant les professions et groupes d'intérêt des deux secteurs la cause commune dans une activité politique. Par contre, dans tous les pays, les deux secteurs ont co-évolué vers une complémentarité malgré de la politisation des professions et la centralisation du gouvernement. Ces résultats sont intéressants pour la science politique en général car ils soulignent l'importance des professions pour le développement institutionnel et proposent un cadre pour l'analyse de la co-évolution des politiques publiques en général. -- This Ph.D. thesis analyzes the co-evolution of the health care and the public health sectors. In other words, the relation between preventive and curative health policy and its evolution over time. Such research is necessary, because current health problems are complex and might need coordinated solutions. What is more, health expenditures have increased continuously in the last decades. One way to slow down further increase in health spending could be to invest more in preventative health policies. Therefore, I am connecting individual health care and public health into a common analysis, taking Australia, Germany, Switzerland, the UK and the U.S. as examples. Based on secondary literature, descriptive statistics and interviews with experts and policymakers, I am analyzing how the two sectors' relations co-evolved between the late nineteenth and the early twenty-first century. Specifically, I am researching how health care and public health were related on the levels of institutions, actors and policies. My results show that there are differences and similarities in the co-evolution of policy sectors between these countries. On the one hand, when the medical profession was politically active and the country a centralized federation or a unitary state, there was institutional integration and common political advocacy of the sectors' interest groups and professions. On the other hand, in all countries, both sectors co-evolved towards complementarity, irrespectively of the politicization of professions and centralization of government. These findings are interesting for the political science literature at large, because they underline the importance of professions for institutional development and propose an analytical framework for analyzing the co-evolution of policy sectors in general.
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This paper is concerned with the contribution of forensic science to the legal process by helping reduce uncertainty. Although it is now widely accepted that uncertainty should be handled by probability because it is a safeguard against incoherent proceedings, there remain diverging and conflicting views on how probability ought to be interpreted. This is exemplified by the proposals in scientific literature that call for procedures of probability computation that are referred to as "objective," suggesting that scientists ought to use them in their reporting to recipients of expert information. I find such proposals objectionable. They need to be viewed cautiously, essentially because ensuing probabilistic statements can be perceived as making forensic science prescriptive. A motivating example from the context of forensic DNA analysis will be chosen to illustrate this. As a main point, it shall be argued that such constraining suggestions can be avoided by interpreting probability as a measure of personal belief, that is, subjective probability. Invoking references to foundational literature from mathematical statistics and philosophy of science, the discussion will explore the consequences of this interdisciplinary viewpoint for the practice of forensic expert reporting. It will be emphasized that-as an operational interpretation of probability-the subjectivist perspective enables forensic science to add value to the legal process, in particular by avoiding inferential impasses to which other interpretations of probability may lead. Moreover, understanding probability from a subjective perspective can encourage participants in the legal process to take on more responsibility in matters regarding the coherent handling of uncertainty. This would assure more balanced interactions at the interface between science and the law. This, in turn, provides support for ongoing developments that can be called the "probabilization" of forensic science.
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Only a few studies have analysed the relationship between intraregional inequality and growth, although several studies have measured inequality at the regional level. The objective of this paper is to analyse the relationship between income (wage) inequality and economic growth in different regions of Mexico. We also try to identify factors that explain the variation of intra-regional inequality across Mexican regions and over time. Using macroeconomic databases and publicly available microdata, we apply techniques used in the fields of statistics and econometrics to obtain robust evidence on the relationship between growth and inequality. Our aim is to provide policy recommendations to support the design and implementation of growth-promoting measures thatavoid the exclusion of certain social groups. This paper provides reasons to use a spatial approach and an analysis of particular regions to avoid «one size fits all» policy recommendations.
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Transitional flow past a three-dimensional circular cylinder is a widely studied phenomenon since this problem is of interest with respect to many technical applications. In the present work, the numerical simulation of flow past a circular cylinder, performed by using a commercial CFD code (ANSYS Fluent 12.1) with large eddy simulation (LES) and RANS (κ - ε and Shear-Stress Transport (SST) κ - ω! model) approaches. The turbulent flow for ReD = 1000 & 3900 is simulated to investigate the force coefficient, Strouhal number, flow separation angle, pressure distribution on cylinder and the complex three dimensional vortex shedding of the cylinder wake region. The numerical results extracted from these simulations have good agreement with the experimental data (Zdravkovich, 1997). Moreover, grid refinement and time-step influence have been examined. Numerical calculations of turbulent cross-flow in a staggered tube bundle continues to attract interest due to its importance in the engineering application as well as the fact that this complex flow represents a challenging problem for CFD. In the present work a time dependent simulation using κ – ε, κ - ω! and SST models are performed in two dimensional for a subcritical flow through a staggered tube bundle. The predicted turbulence statistics (mean and r.m.s velocities) have good agreement with the experimental data (S. Balabani, 1996). Turbulent quantities such as turbulent kinetic energy and dissipation rate are predicted using RANS models and compared with each other. The sensitivity of grid and time-step size have been analyzed. Model constants sensitivity study have been carried out by adopting κ – ε model. It has been observed that model constants are very sensitive to turbulence statistics and turbulent quantities.
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The technique of precision agriculture and soil-landscape allows delimiting areas for localized management, allowing a localized application of agricultural inputs and thereby may contribute to preservation of natural resources. Therefore, the objective of this work was to characterize the spatial variability of chemical properties and clay content in the context of soil-landscape relationship in a Latosol (Oxisol) under cultivation of citrus. Soil samples were collected at a depth of 0.0-0.2 m in an area of 83.5 ha planted with citrus, as a 50-m intervals grid, with 129 points in concave terrain and 206 points in flat terrain, totaling 335 points. Values for the variables that express the chemical characteristics and clay content of soil properties were analyzed with descriptive statistics and geostatistical modeling of semivariograms for making maps of kriging. The values of range and kriging maps indicated higher variability in the shape of concave topography (top segment) compared with the shape of flat topography (slope and hillside segments below). The identification of different forms of terrain proved to be efficient in understanding the spatial variability of chemical properties and clay content of soil under cultivation of citrus.
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This dissertation examines knowledge and industrial knowledge creation processes. It looks at the way knowledge is created in industrial processes based on data, which is transformed into information and finally into knowledge. In the context of this dissertation the main tool for industrial knowledge creation are different statistical methods. This dissertation strives to define industrial statistics. This is done using an expert opinion survey, which was sent to a number of industrial statisticians. The survey was conducted to create a definition for this field of applied statistics and to demonstrate the wide applicability of statistical methods to industrial problems. In this part of the dissertation, traditional methods of industrial statistics are introduced. As industrial statistics are the main tool for knowledge creation, the basics of statistical decision making and statistical modeling are also included. The widely known Data Information Knowledge Wisdom (DIKW) hierarchy serves as a theoretical background for this dissertation. The way that data is transformed into information, information into knowledge and knowledge finally into wisdom is used as a theoretical frame of reference. Some scholars have, however, criticized the DIKW model. Based on these different perceptions of the knowledge creation process, a new knowledge creation process, based on statistical methods is proposed. In the context of this dissertation, the data is a source of knowledge in industrial processes. Because of this, the mathematical categorization of data into continuous and discrete types is explained. Different methods for gathering data from processes are clarified as well. There are two methods for data gathering in this dissertation: survey methods and measurements. The enclosed publications provide an example of the wide applicability of statistical methods in industry. In these publications data is gathered using surveys and measurements. Enclosed publications have been chosen so that in each publication, different statistical methods are employed in analyzing of data. There are some similarities between the analysis methods used in the publications, but mainly different methods are used. Based on this dissertation the use of statistical methods for industrial knowledge creation is strongly recommended. With statistical methods it is possible to handle large datasets and different types of statistical analysis results can easily be transformed into knowledge.
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CDKN2A has been implicated as a melanoma susceptibility gene in some kindreds with a family history of this disease. Mutations in CDKN2A may produce an imbalance between functional p16ink4a and cyclin D causing abnormal cell growth. We searched for germline mutations in this gene in 22 patients with clinical criteria of hereditary cancer (early onset, presence of multiple primary melanoma or 1 or more first- or second-degree relatives affected) by secondary structural content prediction, a mutation scanning method that relies on the propensity for single-strand DNA to take on a three-dimensional structure that is highly sequence dependent, and sequencing the samples with alterations in the electrophoretic mobility. The prevalence of CDKN2A mutation in our study was 4.5% (1/22) and there was a correlation between family history and probability of mutation detection. We found the P48T mutation in 1 patient with 2 melanoma-affected relatives. The patient descends from Italian families and this mutation has been reported previously only in Italian families in two independent studies. This leads us to suggest the presence of a mutational "hotspot" within this gene or a founder mutation. We also detected a high prevalence (59.1%) of polymorphisms, mainly alleles 500 C/G (7/31.8%) or 540 C/T (6/27.3%), in the 3' untranslated region of exon 3. This result reinforces the idea that these rare polymorphic alleles have been significantly associated with the risk of developing melanoma.