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Книги з теми "Topic model methods"

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Topic model methods.

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Practical patient literacy: The medagogy model. New York: McGraw-Hill Medical, 2012.

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2

Antonella, Macagnano, ed. Advanced topics in cell model systems. Hauppauge, NY: Nova Science Publishers, 2009.

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3

Myopia: Animal models to clinical trials. New Jersey: World Scientific, 2010.

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4

Evaluation in nursing staff development: Methods and models. Rockville, Md: Aspen Systems Corp., 1985.

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5

Mark, Chang, ed. Adaptive design methods in clinical trials. 2nd ed. Boca Raton: Taylor & Francis, 2012.

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6

Maffett, Andrew Lewis. Topics for a statistical description of radar cross section. New York: Wiley, 1989.

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7

Palmer, Adele R. Existing chemicals regulation under the Toxic Substances Control Act: Models and methods for policy evaluation. Santa Monica, CA (P.O. Box 2138, Santa Monica 90406-2138): Rand, 1985.

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8

Statistical methods in drug combination studies. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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9

Julious, Steven A. An introduction to statistics in early phase trials. Chichester, West Sussex: John Wiley, 2010.

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10

Julious, Steven A. An introduction to statistics in early phase trials. Chichester, West Sussex: John Wiley, 2010.

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11

Julious, Steven A. An introduction to statistics in early phase trials. Chichester, West Sussex: John Wiley, 2010.

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12

Bartroff, Jay. Sequential experimentation in clinical trials: Design and analysis. New York: Springer, 2013.

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13

1939-, Machin David, and Tan Say-Beng, eds. An introduction to statistics in early phase trials. Chichester, West Sussex: John Wiley, 2010.

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14

Carstensen, Bendix. Comparing clinical measurement methods: A practical guide. Chichester, West Sussex: John Wiley & Sons, 2010.

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15

Gould, Lawrence. Statistical methods for evaluating safety in medical product development. Chichester, West Sussex, United Kingdom: John Wiley & Sons Inc., 2014.

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16

Quantitative methods in health care management: Techniques and applications. 2nd ed. San Francisco: Jossey-Bass, 2009.

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17

Meade, Douglas S., ed. In Quest of the Craft. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-820-0.

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Анотація:

INFORUM is a research project started more than forty five years ago by Clopper Almon. The focus is on the development of dynamic, interindustry, macroeconometric models to forecast the economy in the long run. Over the last 30 years, the Inforum approach to model building has been shared by economists in many different countries. Researchers have focused much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use similar methods and a common software obtaining comparable results to produce studies of common interest to the group. Inforum partners have shared their research in an annual conference since 1993. The XXII Inforum World Conference was held in Alexandria, Virginia in September 2014 and this book contains a selection of papers presented during the sessions. All these contributions share an empirical and pragmatic orientation that is very useful for policymakers, business, and applied economists. Some papers are devoted to specific topics (productivity, energy, international trade, demographic changes) and some others are oriented to model building and simulations.

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18

Bardazzi, Rossella, and Leonardo Ghezzi, eds. Macroeconomic modelling for policy analysis. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-396-0.

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Анотація:

Over the last 30 years, the Inforum approach to macro modelling has been shared by economists worldwide. Researchers have focussed much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use the same methods and software obtaining comparable results. The XXth Inforum World Conference was held in Florence in September 2012 and this book contains a selection of papers presented during that Conference. All these contributions are aimed at policymakers, stakeholders, and applied economists. Some papers are devoted to specific topics (total factor productivity, energy issues, external linkages, demographic changes) and some others are oriented to macro model building and simulations.

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19

Meta-Analysis. Muenchen: Hogrefe & Huber Publishers, 2006.

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20

Samuelsson, Christer. Statistical Methods. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0019.

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Анотація:

Statistical methods now belong to mainstream natural language processing. They have been successfully applied to virtually all tasks within language processing and neighbouring fields, including part-of-speech tagging, syntactic parsing, semantic interpretation, lexical acquisition, machine translation, information retrieval, and information extraction and language learning. This article reviews mathematical statistics and applies it to language modelling problems, leading up to the hidden Markov model and maximum entropy model. The real strength of maximum-entropy modelling lies in combining evidence from several rules, each one of which alone might not be conclusive, but which taken together dramatically affect the probability. Maximum-entropy modelling allows combining heterogeneous information sources to produce a uniform probabilistic model where each piece of information is formulated as a feature. The key ideas of mathematical statistics are simple and intuitive, but tend to be buried in a sea of mathematical technicalities. Finally, the article provides mathematical detail related to the topic of discussion.

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21

Krishnamurti, T. N., H. S. Bedi, and V. M. Hardiker. An Introduction to Global Spectral Modeling. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195094732.001.0001.

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This book is an indispensable guide to the methods used by nearly all major weather forecast centers in the United States, England, Japan, India, France, and Australia. Designed for senior-level undergraduates and first-year graduate students, the book provides an introduction to global spectral modeling. It begins with an introduction to elementary finite-difference methods and moves on towards the gradual description of sophisticated dynamical and physical models in spherical coordinates. Topics include computational aspects of the spectral transform method, the planetary boundary layer physics, the physics of precipitation processes in large-scale models, the radiative transfer including effects of diagnostic clouds and diurnal cycle, the surface energy balance over land and ocean, and the treatment of mountains. The discussion of model initialization includes the treatment of normal modes and physical processes, and the concluding chapter covers the spectral energetics as a diagnostic tool for model evaluation.

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22

Cummins, Mark, Finbarr Murphy, and John J. H. Miller. Topics in Numerical Methods for Finance. Springer, 2014.

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23

Topics In Numerical Methods For Finance. Springer, 2012.

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24

Topics in Numerical Methods for Finance. Springer London, Limited, 2012.

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25

Willmot, Gordon E., Harry H. Panjer, and Stuart A. Klugman. Loss Models: Further Topics. Wiley & Sons, Incorporated, John, 2013.

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26

Willmot, Gordon E., Harry H. Panjer, and Stuart A. Klugman. Loss Models: Further Topics. Wiley & Sons, Incorporated, John, 2013.

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27

Willmot, Gordon E., Harry H. Panjer, and Stuart A. Klugman. Loss Models: Further Topics. Wiley & Sons, Incorporated, John, 2013.

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28

Willmot, Gordon E., Harry H. Panjer, and Stuart A. Klugman. Loss Models: Further Topics. Wiley & Sons, Limited, John, 2013.

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29

Willmot, Gordon E., Harry H. Panjer, and Stuart A. Klugman. Loss Models: Further Topics. Wiley & Sons, Incorporated, John, 2013.

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30

Understanding FRBR: What it is and how it will affect our retrieval tools. United States: Libraries Unlimited, 2007.

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31

1941-, Taylor Arlene G., ed. Understanding FRBR: What it is and how it will affect our retrieval tools. Westport, Conn: Libraries Unlimited, 2007.

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32

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley, 2015.

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33

Burgh, Adriaan Herman Pieter van der. and Simonis Juriaan 1943-, eds. Topics in engineering mathematics: Modeling and methods. Dordrecht: Kluwer Academic Publishers, 1992.

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34

Patriksson, M. Traffic Assignment Problems: Models and Methods (Topics in Transportation Series). V.S.P. Intl Science, 1994.

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35

Elsner, James B., and Thomas H. Jagger. Hurricane Climatology. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199827633.001.0001.

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Анотація:

Hurricanes are nature's most destructive storms and they are becoming more powerful as the globe warms. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity. It uses the open-source and now widely used R software for statistical computing to create a tutorial-style manual for independent study, review, and reference. The text is written around the code that when copied will reproduce the graphs, tables, and maps. The approach is different from other books that use R. It focuses on a single topic and explains how to make use of R to better understand the topic. The book is organized into two parts, the first of which provides material on software, statistics, and data. The second part presents methods and models used in hurricane climate research.

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36

Rosik, Piotr. Świat dostępności - metody i komponenty : przykłady analiz empirycznych przestrzeni Polski = The world of accessibility : methods and components : cases of emprical analyses in Poland's space. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego, Polska Akademia Nauk, 2021. http://dx.doi.org/10.7163/9788361590767.

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Accessibility has many facets. This study focuses on accessibility involving people’s travel, or to be more precise, on the ability to cover the distance from point A (origin) to point B (destination). Accessibility thus defined has its: (1) components (i.e. transport, land-use, individual and temporal components), (2) dimensions (i.e. travel origin and destination, distance decay, restrictions, barriers, mode of transport, extent of study area, socioeconomic and territorial cohesion, and dynamics) and (3) attributes (i.e. affordability, availability, nodal accessibility, and acceptability). The components, dimensions and attributes combine to form the world of accessibility. After having been a subject of academic writing for decades, that world has finally received its own comprehensive volume by Polish author. The book covers its topic in seven chapters. It begins with an introduction, which lays down the objectives and structure of the study and is followed by a chapter covering the definition of accessibility. Chapter 3 is devoted to the methodology of accessibility research. The fourth and longest chapter offers a review of the most important areas of the world of accessibility built around the four components and the dimensions of accessibility. Chapter 5 focuses on the attributes of accessibility, transport exclusion and access equality. Chapter 6 presents the basics of the authors’ own new model of four accessibility factors (network, spatial, travel and individual) developed in the form of a NeST box model. The volume ends with a review of the major threads and considerations of accessibility research in the immediate future, namely: (1) Big Data; (2) distance decay; (3) external spatial effects; (4) sensitivity, criticality and exposure; (5) development of new forms of transport; (6) affordability and equality; (7) long-term effects of the COVID-19 pandemic; (8) comparative analyses and evaluation using accessibility indices.

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37

Taylor, Arlene G. Understanding FRBR: What It Is and How It Will Affect Our Retrieval Tools. Libraries Unlimited, 2007.

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38

Models of Discovery: And Other Topics in the Methods of Science. Springer, 2012.

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39

Simon, Herbert A. Models of Discovery: And Other Topics in the Methods of Science. Springer London, Limited, 2012.

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40

Witkov, Carey, and Keith Zengel. Chi-Squared Data Analysis and Model Testing for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198847144.001.0001.

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Анотація:

This book is the first to make chi-squared model testing, one of the data analysis methods used to discover the Higgs boson and gravitational waves, accessible to undergraduate students in introductory physics laboratory courses. By including uncertainties in the curve fitting, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those familiar with the material. The presentation of one- and two-parameter chi-squared model testing, requiring only elementary probability and algebra, is followed by case studies that apply the methods to simple introductory physics lab experiments. More challenging topics, requiring calculus, are addressed in an advanced topics chapter. This self-contained and student-friendly introduction to chi-squared analysis and model testing includes a glossary, end-of-chapter problems with complete solutions, and software scripts written in several popular programming languages, that the reader can use for chi-squared model testing. In addition to introductory physics lab students, this accessible introduction to chi-squared analysis and model testing will be of interest to all who need to learn chi-squared model testing, e.g. beginning researchers in astrophysics and particle physics, beginners in data science, and lab students in other experimental sciences.

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41

A.H. van der Burgh (Editor) and J. Simonis (Editor), eds. Topics in Engineering Mathematics: Modeling and Methods (Mathematics and Its Applications). Springer, 1992.

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42

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2014.

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43

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2014.

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44

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2006.

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45

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. Wiley & Sons, Incorporated, John, 2007.

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46

Stumpp, Stefan, Daniel Michelis, and Thomas Schildhauer, eds. Social Media Handbuch. Nomos Verlagsgesellschaft mbH & Co. KG, 2021. http://dx.doi.org/10.5771/9783748907466.

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Анотація:

The Social Media Handbook provides guidance on long-term developments in the ever-changing social media sector and explains fundamental interrelationships in this field. It describes a strategy model for the development of one’s own solutions, summarises the theories, methods and models of leading authors and shows their practical application, while also highlighting current developments and dealing with the topic of data processing in social media. An examination of the platform economy with its economic functions facilitates the classification of business models in social media. The book also shows how platforms and their algorithms can influence our actions and shape our opinions. With contributions by Prof. Karin Bjerregaard Schlüter, Andrea Braun, Franziska Geue, Tobias Knopf, Markus Korbien, Prof. Dr. Daniel Michelis, Stefan Pfaff, Thanh H. Pham, Tom Reichstein, Prof. Dr. Anna Riedel, Michael Sarbacher, Prof. Dr. Dr. Thomas Schildhauer, Prof. Dr. Hendrik Send, Dr. Stefan Stumpp, Prof. Dr. Sebastian Volkmann, Jan-Benedikt Weber, Julia Weißhaupt, Norman Wiebach und Prof. Dr. Christian Wissing.

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47

Homburg, Stefan. Traditional Topics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198807537.003.0003.

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Анотація:

Chapter 3 covers traditional topics of monetary macroeconomics. To acquaint readers with the present methods, it starts with conversant material, such as superneutrality of money, the Tobin effect, and forced saving. A large section is devoted to interactions between monetary and fiscal policies. This passage simulates the macroeconomic consequences of sovereign insolvencies and contains a comparison of Ricardian and non-Ricardian economies, a distinction that is crucial for policy analysis. Two closing sections pertain to price and wage rigidities. They emphasize that monetary policies have real effects in the presence of nominal frictions. According to the view sponsored here, models with sticky wages and prices do not compete with flexible price settings but rather complement them in that they shift attention to the short run.

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48

Statistical Thinking in Epidemiology. CRC Press, 2011.

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49

Brown, Helen, and Robin Prescott. Applied Mixed Models in Medicine. John Wiley & Sons, 1999.

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50

Bayesian Methods In Epidemiology. Taylor & Francis Inc, 2013.

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