Автор: Rethemiotakis, Giorgos Warren, Peter Название: Knossos ISBN: 0904887693 ISBN-13(EAN): 9780904887693 Издательство: Marston Book Services Рейтинг: Цена: 77880.00 T Наличие на складе: Поставка под заказ. Описание: From at least 1700 BC, and for several centuries thereafter, a city of substantial houses flanked the palace of Knossos in north-central Crete. Those immediately adjacent to it, like the Royal Villa or the South House, excavated by Sir Arthur Evans, are well known, as are the Little Palace and Unexplored Mansion to the north-west.
Автор: MC Cluskey Emma, Charalambous Constadina Название: Security, Ethnography and Discourse: Transdisciplinary Encounters ISBN: 0367532018 ISBN-13(EAN): 9780367532017 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This interdisciplinary book analyses different contexts where security concerns have an impact on institutional or everyday practices and routines in the lives of ordinary people.
Автор: Charalambous Mark Название: Math for the People: Basic Math Literacy ISBN: 0692663150 ISBN-13(EAN): 9780692663158 Издательство: Неизвестно Цена: 14930.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Bochtis Dionysis, Moshou Dimitrios, Vasileiadis Giorgos Название: Information and Communication Technologies for Agriculture--Theme II: Data ISBN: 3030841472 ISBN-13(EAN): 9783030841478 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications in the domain. Part 3 examines the added value of data management within agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few. Specific advances covered in the volume: * Big data management from heterogenous sources * Data mining within large data sets * Data fusion and visualization * IoT based management systems * Data Knowledge Management for converting data into valuable information * Metadata and data standards for expanding knowledge through different data platforms * AI - based image processing for agricultural systems * Data - based agricultural business * Machine learning application in agricultural products value chain
Автор: Krбlovб Kateřina, Vulesica Marija, Antoniou Giorgos Название: Jewish Life in Southeast Europe ISBN: 1032087080 ISBN-13(EAN): 9781032087085 Издательство: Taylor&Francis Рейтинг: Цена: 42870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book brings together political, cultural and social insights into the life of Jews in Southeast Europe in the 20th century, with a special focus paid to the shifting identities, the changing communities and the memory of the Holocaust. This book was originally published as a special issue of Southeast European and Black Sea St
Автор: Christodoulides, Giorgos Название: Giorgos christodoulides ISBN: 9925573858 ISBN-13(EAN): 9789925573851 Издательство: Неизвестно Рейтинг: Цена: 14300.00 T Наличие на складе: Поставка под заказ. Описание: One hundred poems chosen from eight collections of poetry, as well as poems as yet unpublished, are rearranged for this edition across six categories-metapoetry, transcendence, love, Cypriot etchings, fusion and regeneration -that exemplify the poet`s preferred themes and emulate their poetic effect within a new, cross-language soundscape.
Автор: Kallis Giorgos Название: In Defense of Degrowth: Opinions and Minifestos ISBN: 9090306617 ISBN-13(EAN): 9789090306612 Издательство: Неизвестно Цена: 30580.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Colin Renfrew, Olga Philaniotou, Neil Brodie, Giorgos Gavalas, Michael Boyd Название: Kavos and the Special Deposits: The sanctuary on Keros and the origins of Aegean ritual ISBN: 1902937708 ISBN-13(EAN): 9781902937700 Издательство: Marston Book Services Цена: 84480.00 T Наличие на складе: Невозможна поставка. Описание: Volume II describes the excavation and finds from the Special Deposits at Kavos at the sanctuary on Keros lying opposite the settlement on the islet of Dhaskalio (described in Volume I).
Автор: Giorgos Michel Название: Probability Theory: A Comprehensive Course ISBN: 1681174537 ISBN-13(EAN): 9781681174532 Издательство: Gazelle Book Services Рейтинг: Цена: 217350.00 T Наличие на складе: Невозможна поставка. Описание: Probability theory is the branch of mathematics concerned with probability, the analysis of random phenomena. The central objects of probability theory are random variables, stochastic processes, and events: mathematical abstractions of non-deterministic events or measured quantities that may either be single occurrences or evolve over time in an apparently random fashion. The outcome of a random event cannot be determined before it occurs, but it may be any one of several possible outcomes. The actual outcome is considered to be determined by chance. The word probability has several meanings in ordinary conversation. Two of these are particularly important for the development and applications of the mathematical theory of probability. One is the interpretation of probabilities as relative frequencies, for which simple games involving coins, cards, dice, and roulette wheels provide examples. It is not possible to predict precisely results of random event. However, if a sequence of individual events, such as coin flipping or the roll of dice, is influenced by other factors, such as friction, it will exhibit certain patterns, which can be studied and predicted. Two representative mathematical results describing such patterns are the law of large numbers and the central limit theorem. As a mathematical foundation for statistics, probability theory is essential to many human activities that involve quantitative analysis of large sets of data. Methods of probability theory also apply to descriptions of complex systems given only partial knowledge of their state, as in statistical mechanics. This book emphasises modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils of random developments at financial markets, and they guide us in constructing more efficient algorithms.
Автор: Giorgos Michel Название: Probability & Stochastic Processes: A Friendly Introduction for Electrical & Computer Engineers ISBN: 1681174529 ISBN-13(EAN): 9781681174525 Издательство: Gazelle Book Services Рейтинг: Цена: 230210.00 T Наличие на складе: Невозможна поставка. Описание: In probability theory, a stochastic process, or often random process, is a collection of random variables representing the evolution of some system of random values over time. This is the probabilistic counterpart to a deterministic process (or deterministic system). Instead of describing a process which can only evolve in one way (as in the case, for example, of solutions of an ordinary differential equation), in a stochastic, or random process, there is some indeterminacy: even if the initial condition is known, there are several directions in which the process may evolve. Classic examples of the stochastic process are guessing the length of a queue at a stated time given the random distribution over time of a number of people or objects entering and leaving the queue and guessing the amount of water in a reservoir based on the random distribution of rainfall and water usage. Stochastic processes were first studied rigorously in the late 19th century to aid in understanding financial markets and Brownian motion. This book covers characterisation, structural properties, inference and control of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.
Автор: Giorgos Michel Название: Probability and Statistical Models ISBN: 1681174510 ISBN-13(EAN): 9781681174518 Издательство: Gazelle Book Services Рейтинг: Цена: 230210.00 T Наличие на складе: Невозможна поставка. Описание: A statistical model embodies a set of assumptions concerning the generation of the observed data, and similar data from a larger population. A model represents, often in considerably idealized form, the data-generating process. The model assumptions describe a set of probability distributions, some of which are assumed to adequately approximate the distribution from which a particular data set is sampled. A model is usually specified by mathematical equations that relate one or more random variables and possibly other non-random variables. As such, "a model is a formal representation of a theory". All statistical hypothesis tests and all statistical estimators are derived from statistical models. More generally, statistical models are part of the foundation of statistical inference. With an emphasis on models and techniques, the book Probability and Statistical Models introduces many of the fundamental concepts of stochastic modeling that are now a vital component of almost every scientific investigation. These models form the basis of well-known parametric lifetime distributions such as exponential, Weibull, and gamma distributions, as well as change-point and mixture models. The book reviews recent developments in theoretical and applied statistical science, highlights current noteworthy results and illustrates their applications; and points out possible new directions to pursue. This book is a must read for probabilists and theoretical and applied statisticians.
Автор: Giorgos Michel Название: Multilevel Statistical Models ISBN: 1681174464 ISBN-13(EAN): 9781681174464 Издательство: Gazelle Book Services Рейтинг: Цена: 217350.00 T Наличие на складе: Невозможна поставка. Описание: Through the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. Multilevel models (also hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level. An example could be a model of student performance that contains measures for individual students as well as measures for classrooms within which the students are grouped. These models can be seen as generalizations of linear models (in particular, linear regression), although they can also extend to non-linear models. These models became much more popular after sufficient computing power and software became available. Multilevel models are particularly appropriate for research designs where data for participants are organized at more than one level (i.e., nested data). Multilevel models can be used on data with many levels, although 2-level models are the most common and the rest of this article deals only with these. The dependent variable must be examined at the lowest level of analysis. The book Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. This book is a comprehensive tool for postgraduate courses. This book will be beneficial for applied statisticians in the social sciences, economics, biological and medical disciplines.
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