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Livres sur le sujet « Given data »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Euclid, ed. Dedomena: Euclid's Data, or, The importance of being given. Museum Tusculanum Press, 2003.

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2

Zingg, D. W. A method of smooth bivariate interpolation for data given on a generalized curvilinear grid. [s.n.], 1992.

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3

Wilkins, David C. Sociopathic knowledge bases: Correct knowledge can be harmful even given unlimited computation. Department of Computer Science, University of Illinois, 1989.

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4

V, Di Gesù, Scarsi L, and Crane P, eds. Selected topics on data analysis in astronomy: General lectures given at the II Workshop on Data Analysis in Astronomy, Erice, Italy, April 20-30, 1986. World Scientific, 1987.

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5

Folland, Chris. Representativeness, data gaps and uncertainties in climate observations: (invited scientific lecture given by Chris Folland to the Thirteenth WMO Congress, 21 May 1999). World Meteorological Organization, 2000.

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6

Munerman, Viktor, Vadim Borisov, and Aleksandra Kononova. Mass data processing. Algebraic models and methods. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1906037.

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The monograph is devoted to mathematical and algorithmic support of mass data processing based on algebraic models. One of the most common classes of mass processing is considered - processing of highly active structured data. The construction of algebraic models of data and calculations and methods of proving their correspondence are analyzed. Three algebraic systems are studied, which can be used both as data models and as models of calculations. The algebraic and axiomatic methods of proving the correspondence of these models are investigated. A proof of their correspondence is given: homom

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Logunova, Oksana, Petr Romanov, and Elena Il'ina. Processing of experimental data on a computer. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064882.

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The textbook provides information about the main methods and tools for automating computational processes used in data processing; methods for representing and generating models of experimental data; data models and classification of processing tasks; and the organization of the user interface in automated systems for processing experimental data. Contains structured chapters on the specifics of experimental research. The features of using software for processing experimental data are clearly and logically described. Theoretical material and basic algorithms for processing experimental data us

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Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects). The second edition is supplem

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Toronto), Conference on Editorial Problems (20th 1984 University of. Editing, publishing, and computer technology: Papers given at the twentieth annual Conference on Editorial Problems, University of Toronto, 2-3 November 1984. AMS Press, 1988.

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10

Ilson, Robert. Assembling, analysing, and using a corpus of authentic language: A lecture given on the Survey of English Usage at the Linguistics Institute of the Hungarian Academy of Sciences on 2 September, 1988. Magyar Tudományos Akadémia Nyelvtudományi Intézete, Institutum Linguisticum Academiae Scientiarum Hungaricae, 1991.

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11

Orlova, Ekaterina. Research and Development (R&D): data analysis and cost-effectiveness. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1959274.

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The textbook outlines the methodological foundations of statistical analysis, modeling and forecasting of data characterizing research and development (R&D) both at the level of individual organizations and at the level of industries and regional systems. Examples of the analysis of empirical data on R&D are given, which allow us to get an idea of the scope of statistical data processing methods in the analysis of real economic processes. A set of methods for the economic justification of R&D projects, depending on their type and stage of the life cycle, is presented. Examples of e

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Dapporto, Paolo, Paola Paoli, Patrizia Rossi, and Annalisa Guerri. The UTN program. Firenze University Press, 2001. http://dx.doi.org/10.36253/88-8453-032-6.

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We give an algorithm which goal is to find the energy barrier between a given pair of points in a graph which represents the conformational space of a molecule. If the conformational space is homeomorphic to an -dimensional torus, then the graph can be chosen of a particular form. The UTN software, which implements the algorithm in this case, is described in detail. Finally we focus on applications: to show how UTN works, some examples are carried on in detail, with the additional support of graphical animation1 in the twodimensional case. The source code of the program and some data of the ex

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Alberto, Ferrari, ed. Microsoft PowerPivot for Excel 2010: Give your data meaning. Microsoft, 2011.

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14

Strasser, Todd. Girl gives birth to own prom date. Simon & Schuster Books for Young Readers, 1996.

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Strasser, Todd. Girl gives birth to own prom date. Simon & Schuster Books for Young Readers, 1996.

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16

Gvozdeva, Valentina. Intelligent technologies in unmanned systems. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1876535.

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The textbook discusses the work on the application of intelligent technologies in unmanned systems. A description of the research methodology is given, the results of the work carried out are presented, as well as their interpretation. The basics of management of intelligent unmanned systems have been studied. The basic concepts and definitions, the history of development, the basics of data management in unmanned systems are described. The main methods and models used in intelligent unmanned systems are given. The issues of data management in unmanned systems of various types of activity are

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Okolelova, Tamara, and Syergyey YEngashyev. Scientific basis of feeding and keeping poultry. Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02037-1.

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The book covers the basic principles of nutrient rationing for poultry. The data on the needs of all types of poultry, taking into account age, in nutrients, minerals and biologically active substances are given. The characteristic of the main feed means and rational norms of their inclusion in the compound feed for poultry are given. Modern data on the role of vitamins, macro- and microelements, enzyme preparations, probiotics, prebiotics, phytobiotics, organic acids, antioxidants, fat emulsifiers and other sources of biologically active substances in poultry nutrition are presented. Attentio

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Service, CERA Advisory. Distributed processing: Can "the edge" give companies an edge? : private report. CERA, 2001.

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19

Golubova, Tat'yana, and Vera Lyubchik. Mud treatment in the Republic of Crimea. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1078148.

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The monograph contains basic information about mud treatment in the Crimea, its history, characteristics and features of the microelement composition, data on the mechanism of action, indications and contraindications to the appointment of mud applications. Clarified and systematized data on the use of therapeutic mud in patients with various diseases, methods are given depending on the nature and severity of the disease, its clinical forms. It is intended for physiotherapists, balneologists, doctors of physical and rehabilitation medicine and other specialties, researchers, as well as for int

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Lemeshko, Boris, and Irina Veretel'nikova. Criteria for testing hypotheses about randomness and the absence of a trend. Application Guide. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1587437.

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The monograph discusses the application of statistical criteria aimed at testing hypotheses about the absence of a trend in the analyzed samples. The rejection of such a hypothesis gives grounds to consider the analyzed data as samples of independent equally distributed random variables. We consider a set of special criteria aimed at testing such hypotheses, as well as a set of criteria for the uniformity of laws, the uniformity of averages and the uniformity of variances, which can also be used for these purposes. The disadvantages and advantages of various criteria are emphasized, the applic

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Evtushenko, Sergej, and Viktor Logvinov. Resistance of materials. Laboratory works. 4th edition. 4th ed. Publishing Center RIOR, 2016. http://dx.doi.org/10.12737/16966.

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Data on laboratory works on resistance of materials are provided, the assessment of errors of results of measurements and experiments is given, statistical processing of experimental data is in detail stated. The book contains information on nondestructive methods and control devices of characteristics and diagnostics of materials and designs. In a grant the International system of units (SI) (tab. 1 of the Appendix) is used, designations of sizes are accepted according to the international recommendations of ISO. Data on physicomechanical characteristics of steel, cast iron, non-ferrous metal

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Spirin, Yuriy, Sergey Zotov, Evgeniy Krasnov, and Nadezhda Cvetkova. Polder watercourses: research methods and geoecological assessment. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1903343.

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The monograph describes research methods and geoecological assessment of polder lands. The history of research and practical use of surface waters of the Kaliningrad region is characterized, modern problems of their geoecological state are revealed. The characteristic of polder lands as complex natural and economic systems is given, the necessity of geoecological studies of the catchments of small rivers located on them is substantiated. A methodological approach has been developed to assess the geoecological condition of the basins of small watercourses through the combined analysis of

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Ratushnyy, Aleksandr, Boris Baranov, Tat'yana Shlenskaya, et al. Technology of catering products. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1031132.

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The book describes the processes occurring in food under the influence of different ways processing. Given data on changes of nutrients and their impact on the quality of the finished product. Meets the requirements of Federal state educational standards of higher education of the last generation. Intended for students of higher educational institutions enrolled in the areas of training and 19.03.04 19.04.04 "production Technology and organization of public catering".

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Mandra, Yuliya, Khiyir Abdulkerimov, Elena Svetlakova, et al. Laser technology. TIRAZH Publishing House, 2019. http://dx.doi.org/10.18481/textbook_5e061def49d1f9.63593775.

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The manual is intended for students of the Faculty of Dentistry, residents, practicing dentists of various specialties. Dedicated to current issues of laser dentistry. Developed taking into account world scientific and clinical practice, experimental, laboratory and clinical data obtained by the authors. This manual presents materials relating to modern ideas about the use of laser technology in dentistry, highlights modern methods of diagnosis and treatment, clinical cases are given.

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Novikov, Anatoliy, and Natal'ya Novikova. Mathematical methods in psychology (speech therapy). INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1018182.

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The tutorial discusses the necessary mathematical methods and approaches used for investigation and practical applications in psychology (speech therapy). In examples and assignments (with answers) are given found in the practical work of psychologists in various techniques that allow you to master the computational procedures of statistical processing of data. In parallel with manual processing are the processing of data using MS Excel and SPSS. Shows a combination of Excel and SPSS packages.  Meets the requirements of Federal state educational standards of higher education of the

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Luk'yanov, Mihail. Collection of problems in strength of materials. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/989326.

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Given objectives for all sections of the course "strength of materials", studied by students in accordance with the existing program for Russian universities. Along with the classical methods of assessing strength are the basic concepts of fracture mechanics and methods of calculations on strength, stiffness and stability of structures. Detailed solution of the task allows the subject to students of day and correspondence forms of training. The unconventional construction of the book are aimed at improving the learning material. Almost all tasks are accompanied by answers. In the A

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Perevalov, Viktor. Legal doctrine: problems of formation and implementation. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1839406.

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The book is devoted to the issues of the emergence, formation and implementation of the legal doctrine as a kind of" prominence " in the field of legal science. Taking into account historical and comparative legal data, the corresponding legal phenomena and concepts are characterized, examples of their practical approbation are given. Variants of the author's solution are offered for a number of debatable problems of the topic. For undergraduates, postgraduates, teachers of law schools and anyone interested in law.

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Gvozdeva, Valentina. Intelligent technologies in unmanned systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1083296.

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The textbook discusses the work on the application of intelligent technologies in unmanned systems. A description of the research methodology is given, the results of the work carried out, as well as their interpretation are presented. The basics of managing intelligent unmanned systems are studied. The basic concepts and definitions, the history of development, and the basics of data management in unmanned systems are described. The main methods and models used in intelligent unmanned systems are presented. The issues of data management in unmanned systems of various types of activities are c

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29

Bounegru, Liliana, and Jonathan Gray, eds. The Data Journalism Handbook. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462989511.

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The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It als

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Blagin, Anatoliy, and Ol'ga Kotova. Astronomy. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1083410.

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Summarize the introductory course of astronomy, given the latest scientific data about space. Each section provides examples of tasks and tasks for independent work of students. Are regarded as standard tasks and Olympiad so the tutorial can also serve as a guide for solving problems of high complexity.  Designed for students in secondary vocational education. It may be useful to the students of gymnasiums, secondary schools and Junior students of universities and teachers of natural science disciplines. Can also be used for self-education.

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31

Larkin, F. M. An Interpolation Procedure Based on Fitting Elasticas to Given Data Points. AEA Technology Plc, 1988.

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32

Lyon, Aidan. Data. Edited by Paul Humphreys. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.37.

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In this chapter, the author reviews some of the philosophical issues that arise in connection with the concept of data. He first asks what data are, and he evaluates a number of different answers to this question that have been given. The author then examines the concept of so-called big data and the corresponding concept of big science. It has been claimed that the advent of big science calls for a fundamental change to science and scientific methodology. The author argues that such claims are too strong. Finally, the author reviews the distinction between data and phenomena, due to Bogen and

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O'Cathain, Alicia. Collecting data. Edited by Alicia O'Cathain. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198802082.003.0009.

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There are many issues to consider when collecting data in qualitative research with RCTs. In this chapter consideration is given to the range of methods that can be used, who to include in the data collection, how to identify people or places to include, how many people or places to include, when to undertake data collection, and who is best placed to undertake it.

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Taisbak, Christian Marinus. Euclid's Data: The Importance of Being Given (Acta Historica Scientiarum Naturalum Et Medicinalium). Museum Tusculanum, 2003.

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A tool for estimating the mix of energy conservation measures given competing acquisition scenarios. Pacific Northwest Laboratory, 1991.

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O'Cathain, Alicia. Analysing the qualitative data. Edited by Alicia O'Cathain. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198802082.003.0010.

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Numerous books and journal articles have been written about how to analyse qualitative data. In this chapter the assumption has been made that readers know how to do this. The focus of the chapter is on how researchers have analysed qualitative data collected with RCTs. The chapter begins with a brief description of the range of approaches to analysis used in the context of qualitative research with RCTs, giving examples of how researchers describe their analysis. Consideration is then given to who can be involved in the analysis and the challenges researchers may face.

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Baillo, Amparo, Antonio Cuevas, and Ricardo Fraiman. Classification methods for functional data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.10.

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This article reviews the literature concerning supervised and unsupervised classification of functional data. It first explains the meaning of unsupervised classification vs. supervised classification before discussing the supervised classification problem in the infinite-dimensional case, showing that its formal statement generally coincides with that of discriminant analysis in the classical multivariate case. It then considers the optimal classifier and plug-in rules, empirical risk and empirical minimization rules, linear discrimination rules, the k nearest neighbor (k-NN) method, and kern

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Brazier, John, Julie Ratcliffe, Joshua A. Salomon, and Aki Tsuchiya. Modelling health state valuation data. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.003.0005.

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This chapter examines the technical issues in modelling health state valuation data. Most measures of health define too many states to directly value all of them (e.g. SF-6D defines 18,000 health states). The solution has been to value a subset and by using modelling to predict the values of all states. This chapter reviews two approaches to modelling: one using multiattribute utility theory to determine health values given an assumed functional form; and the other is using statistical modelling of SF-6D preference data that are skewed, bimodal, and clustered by respondents. This chapter exami

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Kabanikhin, Sergey I., A. T. Nurseitova, and M. F. Bektemesov. Iterative Methods for Solving Inverse and Ill-Posed Problems with Data Given on the Part of the Boundary. De Gruyter, Inc., 2013.

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Kabanikhin, Sergey I., Maktagali F. Bektemisov, A. T. Nurseitova, and Maxim A. Shishlenin. Iterative Methods for Solving Inverse and Ill-Posed Problems with Data Given on the Part of the Boundary. De Gruyter, Inc., 2013.

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41

Mickle, Audrey. Getting Started with Data Management & DMPTool at WHOI. Woods Hole Oceanographic Institution, 2017. http://dx.doi.org/10.1575/1912/8668.

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Hall, Peter. Principal component analysis for functional data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.8.

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This article discusses the methodology and theory of principal component analysis (PCA) for functional data. It first provides an overview of PCA in the context of finite-dimensional data and infinite-dimensional data, focusing on functional linear regression, before considering the applications of PCA for functional data analysis, principally in cases of dimension reduction. It then describes adaptive methods for prediction and weighted least squares in functional linear regression. It also examines the role of principal components in the assessment of density for functional data, showing how

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Clifford, Damian. Data Protection Law and Emotion. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780192845863.001.0001.

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Abstract Data protection law is often positioned as a regulatory solution to the risks posed by computational systems. This is logical given the pervasive data processing that underpins much of the technology we rely on daily. Despite the widespread adoption of data protection laws, however, there are those who remain very sceptical about their capacity to regulate these risks. Much of this criticism focuses on the role of us, the ‘data subjects’. For instance, it has been demonstrated repeatedly that we lack the capacity to act in our own best interests and, what is more, that our decisions h

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Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Capstone: Application of NLTS to Real-World Data. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0010.

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This chapter investigates the use of Extreme Value Statistics (EVS) to probabilistically model extreme events separated as unstructured noise in signal processing. We apply a version of EVS that computes the likelihood of extreme discrepancies exceeding a selected threshold value within a given time interval. In theory, exceedances follow a Generalized Pareto (GP) distribution, and we run diagnostics to determine how well the data actually fit this distribution. If we find a reasonable fit, we can invert the GP distribution to solve for quantiles providing a useful noise diagnostic: return lev

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Ojanperä, Sanna, Eduardo López, and Mark Graham, eds. Human Development and the Data Revolution. Oxford University PressOxford, 2025. https://doi.org/10.1093/oso/9780198879145.001.0001.

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Abstract Human Development and the Data Revolution tackles a topic that in the age of data and digitalization has become timely in global development: what are the potential uses of large-scale data in the contexts of development, in particular, what techniques, data sources, and possibilities exist for harnessing large datasets and new online data to address persistent concerns regarding human development, inequality, exclusion, and participation. It also sheds light into the challenges and obstacles related to the safe and effective use of big data and computational approaches in development

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Neuhäuser, Markus, and Graeme D. Ruxton. The Statistical Analysis of Small Data Sets. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198872979.001.0001.

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Abstract We live in the era of big data. However, small data sets are still common for ethical, financial, and practical reasons. Small sample sizes can cause researchers to particularly seek the most powerful methods to analyse their data; but they may be wary that some methodologies rely on assumptions that may not be appropriate when samples are small. The book offers advice on the statistical analysis of small data sets for various designs and levels of measurement. This should help researchers to analyse such data sets, but also to evaluate and interpret others' analyses. Potential challe

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An Informative Index: The Names of Persons and Their Essential Genealogical Data, as Given in the Bouton-Boughton Family, by James Boughton, 1890. Forgotten Books, 2018.

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48

Hallinan, Dara. Protecting Genetic Privacy in Biobanking through Data Protection Law. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192896476.001.0001.

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Biobanks are critical infrastructure for medical research. Biobanks, however, are also the subject of considerable ethical and legal uncertainty. Given that biobanks process large quantities of genomic data, questions have emerged as to how genetic privacy should be protected. What types of genetic privacy rights and rights holders should be protected and to what extent? Since 25 May 2018, the General Data Protection Regulation (GDPR) has applied and now occupies a key position in the European legal framework for the regulation of biobanking. This book takes an in-depth look at the function, p

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Khrustalev, Alexander Valerievich, and Alexander Sergeevich Moskvin, eds. Annotated catalogue of type specimens of helminths. All-Russian Scientific Research Institute for Fundamental and Applied Parasitology of Animals and Plant - a branch of the Federal State Budget Scientific Institution "Federal Scientific Centre VIEV", 2021. http://dx.doi.org/10.31016/978-5-6046256-5-1.2021.catalogue.

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This catalog contains basic information on the helminth type specimens stored in the Institute's Collection, namely, inventory numbers, inventory and status of a type material; the type host, type localization and type location are also indicated. Information is also given on the collection date and collector name, as well as material amount and its preservation quality. For each species, bibliographical references to the original publication and illustrations of type specimens taken from the original sources are given. Where necessary, the descriptions were supplemented with notes regarding t

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Common, IFB. Oecophorine Genera of Australia I. CSIRO Publishing, 1994. http://dx.doi.org/10.1071/9780643105119.

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The present volume presents a revision of the Wingia group of 91 genera, a group which appears to be almost entirely endemic to Australia. Detailed information is provided on the morphology, including the genitalia of both sexes, and up-to-date data on the distribution, biology and larval food plants of the species referred to each genus.  A list of the species assigned to each genus is given, with full synonymy, references to the original descriptions, label data and repository of the primary type, lectotype designations, and abbreviated distribution data. Illustrations of the adults, w

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