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Books on the topic 'Estimation quantitative des précipitations'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Geostatistical and quantitative approaches for resource estimation. Kolkata: Firma KLM Private Limited, 2012.

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2

Abdel-Hamid, Tarek K. On the portability of quantitative software estimation models. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1988.

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3

Mitchell, M. F. Quantitative estimation of the risk to humans resulting from exposure to chemicals. Ottawa: National Research Council of Canada, 1987.

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4

International Centre for Integrated Mountain Development, ed. Value of forest ecosystem services: A quantitative estimation from the Kangchenjunga landscape in eastern Nepal. Kathmandu, Nepal: International Centre for Integrated Mountain Development, 2012.

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5

Zielinski, Ulrich. Quantitative Bestimmung von Paläoumweltparametern des Antarktischen Oberflächenwassers im Spätquartär anhand von Transferfunktionen mit Diatomeen =: Quantitative estimation of palaeoenvironmental parameters of the Antarctic surface water in the Late Quaternary using transfer functions with diatoms. Bremerhaven: Alfred-Wegener-Institut fur Polar- und Meeresforschung, 1993.

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6

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the basis of the passive experiment, predictive model of quantitative estimation of the copper content in the matte based on fuzzy logic. Of interest to students, postgraduates, teachers of technical universities, engineers and research workers who use mathematical methods for processing of data of laboratory and industrial experiments.

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7

H, Moolgavkar Suresh, and International Agency for Research on Cancer., eds. Quantitative estimation and prediction of human cancer risks. Lyon, France: International Agency for Research on Cancer, 1999.

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8

Laird, Linda M., and M. Carol Brennan. Software Measurement and Estimation: A Practical Approach (Quantitative Software Engineering Series). Wiley-IEEE Computer Society Pr, 2006.

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9

Walsh, Bruce, and Michael Lynch. Evolution and Selection of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.001.0001.

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Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.

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10

Motor Unit Number Estimation and Quantitative EMG: Proceedings of the Second International Symposium on MUNE and QEMG, Snowbird, Utah, USA, 18-20 August 2006. Elsevier - Health Sciences Division, 2009.

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11

Motor Unit Number Estimation (MUNE) and Quantitative EMG - Selected Presentations from the Second International Symposium on MUNE and QEMG, Snowbird, Utah, USA, 18–20 August 2006. Elsevier, 2009. http://dx.doi.org/10.1016/s1567-424x(08)x6000-3.

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12

Anwar, Ashraf M., and Folkert Jan ten Cate. Tricuspid and pulmonary valves. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0016.

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Right-sided heart valves are complex anatomical structures. Studies describing the morphological and functional assessment of both valves are lacking. Most echocardiographic modalities provide a qualitative rather than quantitative approach.Echocardiography has a central role in the assessment of tricuspid regurgitation through estimation of severity, understanding the mechanism, assessment of pulmonary artery pressure, evaluation of right ventricular function, guidance towards surgery versus medical therapy, and assessment of valve competence after surgery.Transoesophageal echocardiography is an accurate method providing a qualitative assessment of right-sided heart valves. However, the lack of good validation makes it difficult to recommend its use for a quantitative approach. Hopefully, the future will provide refinements in instrumentation and techniques leading to increased accuracy in reporting and cost-effectiveness in making clinical decisions.

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13

Kenny, Paul D. Populism and Patronage. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198807872.003.0009.

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This chapter tests the theory through a quantitative analysis of populist electoral success. It conducts a statistical analysis of the performance of populist candidates in all democracies across Asia, Europe, the, and Australasia. This analysis shows that as subnational units gain autonomy, the electoral performance of populist politicians is enhanced in patronage democracies but not in non-patronage democracies. This finding suggests that there exists a pathway to populist success that is distinctive to patronage democracies. To deal with the high number of cases in which populists receive no votes, the main analysis is a “double-hurdle” model. To control for the endogeneity of these decentralizing processes to party-system stability, the chapter employs an instrumental variables (IV) estimation strategy, in which autonomy is instrumented for by a number of structural features of a polity (area, population, and territorial contiguity). The model also holds up to this IV estimation.

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14

Deshpande, U. P., T. Shripathi, and A. V. Narlikar. Iron-oxide nanostructures with emphasis on nanowires. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533053.013.23.

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This article examines the properties of iron-oxide nanostructures, with particular emphasis on nanowires. It begins with an overview of iron-oxide nanostructures and nanowires, followed by a discussion of the synthesis of aligned ?-Fe2O3 nanowires and nanosheets by a simple thermal oxidation route. It then describes the preferential bending of [110] grown ?-Fe2O3 nanowires about the C-axis and quantitative estimation of nanowire alignment using X-ray diffraction and grazing incidence X-ray diffraction. It also considers the growth mechanism of ?-Fe2O3 nanowires and nanosheets, different nanowire morphologies, rotational slip in ?-Fe2O3 nanosheets, and the influence of local environment and substrate microstructure on nanowire growth.

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15

Beran, Michael J., Bonnie M. Perdue, and Theodore A. Evans. Monkey Mathematical Abilities. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.025.

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Monkeys are mathematicians, albeit imprecise ones. Comparative research has illustrated that monkeys use quantitative and numerical information, and this chapter outlines many of those findings. We begin with an historical summary of work with primates in assessing the role that number plays in these animals’ lives. We then focus on the question of whether primates can count and can use symbols to represent numerical information. Evidence for counting is limited, but they can make judgments of ordered magnitudes, and they can learn to associate symbols with various quantities and numbers of items. They do this through a form of analogue magnitude estimation in which increasingly larger numbers of items are represented less and less precisely. They do this using many of the same neural structures that underlie varying types of numerical competence in humans, thereby illustrating an evolutionary progression of mathematical skills in the orderPrimates.

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16

Lucangelo, Umberto, and Massimo Ferluga. Pulmonary mechanical dysfunction in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0084.

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In intensive care units practitioners are confronted every day with mechanically-ventilated patients and should be able to sort out from all the data available from modern ventilators to tailored patient ventilatory strategy. Real-time visualization of pressure, flow and tidal volume provide valuable information on the respiratory system, to optimize ventilatory support and avoiding complications associated with mechanical ventilation. Early determination of patient–ventilator asynchrony, air-trapping, and variation in respiratory parameters is important during mechanical ventilation. A correct evaluation of data becomes mandatory to avoid a prolonged need for ventilatory support. During dynamic hyperinflation the lungs do not have time to reach the functional residual capacity at the end of expiration, increasing the work of breathing and promoting patient-ventilator asynchrony. Expiratory capnogram provides qualitative information on the waveform patterns associated with mechanical ventilation and quantitative estimation of expired CO2. The concept of dead space accounts for those lung areas that are ventilated but not perfused. Calculations derived from volumetric capnography are useful indicators of pulmonary embolism. Moreover, alveolar dead space is increased in acute lung injury and its value decreased in case of positive end-expiratory pressure (PEEP)-induced recruitment, whereas PEEP-induced overdistension tends to increment alveolar dead space.

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17

Nutrient Requirements of Domesticated Ruminants. CSIRO Publishing, 2007. http://dx.doi.org/10.1071/9780643095106.

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Nutrient Requirements of Domesticated Ruminants draws on the most up-to-date research on the energy, protein, mineral, vitamin and water requirements of beef and dairy cattle, sheep and goats. It defines the responses of animals, in weight change, milk production and wool growth, to quantitative and qualitative changes in their feed supply. It has particular application to grazing animals. Factors affecting the intake of feed are taken into account and recommendations are given according to the production systems being used; for instance, the feed intake of a grazing animal is affected by a larger number of variables than a housed animal. Examples of the estimation of the energy and nutrients required for the different production systems are given, as well as the production expected from predicted feed intakes. The interactions between the grazing animal, the pasture and any supplementary feeds are complex, involving herbage availability, diet selection and substitution. To facilitate the application of these recommendations to particular grazing situations, readers are directed to decision support tools and spreadsheet programs. Nutrient Requirements of Domesticated Ruminants is based on the benchmark publication, Feeding Standards for Australian Livestock: Ruminants, published in 1990 by CSIRO Publishing on behalf of the Standing Committee on Agriculture. It provides comprehensive and useful information for graziers, livestock advisors, veterinarians, feed manufacturers and animal nutrition researchers. The recommendations described are equally applicable to animals in feedlots or drought yards.

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18

Chen, Min, J. Michael Dunn, Amos Golan, and Aman Ullah, eds. Advances in Info-Metrics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190636685.001.0001.

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Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. In a recent book on the Foundations of Info-Metrics, Golan (OUP, 2018) provides the theoretical underpinning of info-metrics and the necessary tools and building blocks for using that framework. This volume complements Golan’s book and expands on the series of studies on the classical maximum entropy and Bayesian methods published in the different proceedings started with the seminal collection of Levine and Tribus (1979) and continuing annually. The objective of this volume is to expand the study of info-metrics, and information processing, across the sciences and to further explore the basis of information-theoretic inference and its mathematical and philosophical foundations. This volume is inherently interdisciplinary and applications oriented. It contains some of the recent developments in the field, as well as many new cross-disciplinary case studies and examples. The emphasis here is on the interrelationship between information and inference where we view the word ‘inference’ in its most general meaning – capturing all types of problem solving. That includes model building, theory creation, estimation, prediction, and decision making. The volume contains nineteen chapters in seven parts. Although chapters in each part are related, each chapter is self-contained; it provides the necessary tools for using the info-metrics framework for solving the problem confronted in that chapter. This volume is designed to be accessible for researchers, graduate students, and practitioners across the disciplines, requiring only some basic quantitative skills. The multidisciplinary nature and applications provide a hands-on experience for the reader.

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