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Thematische Bibliographien / Classification and spatiotemporal forecasting / Bücher

Bücher zum Thema „Classification and spatiotemporal forecasting“

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Autor: Grafiati

Veröffentlicht am 25. Mai 2024

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1

Wisconsin. Dept. of Development. Division of Policy Development. Bureau of Research., Hrsg. Employment potential of Wisconsin industry groups: An analysis and industry classification. Madison, Wis: Wisconsin Dept. of Development, Division of Policy Development, Bureau of Research, 1985.

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2

Woo, Ming-Ko. Hydrological classification of Canadian prairie wetlands and prediction of wetland inundation in response to climatic variability. Ottawa: Canadian Wildlife Service, 1993.

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3

A, Kulikowski Casimir, Hrsg. Computer systems that learn: Classification and prediction methods from statistics, neural nets, machine learning, and expert systems. San Mateo, Calif: M. Kaufmann Publishers, 1991.

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4

Canada. Human Resources Development Canada., Hrsg. Job futures. [Ottawa, ON: Human Resources Development Canada], 1996.

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5

Len'kov, Roman. Social forecasting and planning. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1058988.

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The tutorial describes the preconditions of sociopragmatics research in Russia on the background of evolutionary processes of social prognostics of the twentieth century. Considered the essential characteristics of social forecasting, its subject and range of issues. Based on analysis of classification schemes methods of scientific forecasting offers the author's approach to classification of methods of social forecasting. Special attention is paid to the description of the characteristics, the specific application and selection procedure of the ways of making social predictions. Theoretical and applied analysis of the foundations of social design, the direction of its implementation and research methods used for it. The conceptual basis of design in education on the example of the educational process in the University. Given the model structure, rationale and testing of design solutions. The third edition of the book is dedicated to the 100th anniversary of the State University of management. Meets the current requirements of the Federal state educational standard of higher education. For students of higher educational institutions, students of humanitarian directions and specialities.

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6

Nguyen, Van O. Analysis of the U.S. Marine Corps' steady state Markov model for forecasting annual first-term enlisted classification requirements. Monterey, Calif: Naval Postgraduate School, 1997.

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7

Zhuravlev, Yu I. Raspoznavanie, klassifikatsiya, prognoz: Matematicheskie metody i ikh primenie = Pattern recognition, classification, forecasting : mathematical techniques and their application, vol. 1. Moskva: Nauka, 1989.

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8

Labor, United States Department of. Occupational outlook handbook: 2008-2009. 2. Aufl. Indianapolis: Jist Pub., 2008.

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9

Alig, Ralph J. Area changes for forest cover types in the United States, 1952 to 1997, with projections to 2050. Portland, Or: Pacific Northwest Research Station, 2004.

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10

Alig, Ralph J. Area changes for forest cover types in the United States, 1952 to 1997, with projections to 2050. [Portland, OR]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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11

Alig, Ralph J. Area changes for forest cover types in the United States, 1952 to 1997, with projections to 2050. [Portland, OR]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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12

Alig, Ralph J. Area changes for forest cover types in the United States, 1952 to 1997, with projections to 2050. [Portland, OR]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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13

United States. Bureau of Labor Statistics, Hrsg. Occupational outlook handbook. 2. Aufl. St. Paul, MN: Jist Publishing, 2015.

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14

Bunde, Armin. The Science of Disasters: Climate Disruptions, Heart Attacks, and Market Crashes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.

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15

United States. Bureau of Labor Statistics, Hrsg. Occupational outlook handbook. 2. Aufl. Baton Rouge, LA: Claitor's Pub. Division, 2012.

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16

Canada. Human Resources Development Canada. Job futures 2000: World of work : overviews and trends. Hull, Qué: Human Resources Development Canada, 2000.

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17

Canada. Human Resources Development Canada. Job futures 2000. Hull, Qué: Human Resources Development Canada, 2000.

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18

Ministre des Approvisionnements et Services Canada 1996., Hrsg. Emploi-Avenir 1996 : Perspectives de carrière pour les diplômés: Vol. 2. Ottawa: Développement des ressources humaines Canada, 1996.

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19

Canada. Human Resources Development Canada., Hrsg. Emploi-avenir. [Ottawa, ON: Ministère du développement des ressources humaines, 1996.

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20

Ministre des Approvisionnements et Services Canada 1996., Hrsg. Emploi-Avenir 1996 : Perspectives professionnelles: Vol. 1. Ottawa: Développement des ressources humaines Canada, 1996.

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21

Canada. Human Resources Development Canada. Applied Research Branch., Hrsg. Job futures 2000. Hull, PQ: Human Resources Development Canada, Applied Research Branch, 2000.

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22

European Centre for the Development of Vocational Training, Hrsg. The matching of educational and occupational structures in Finland and Sweden: Final report. Thessaloniki: CEDEFOP, European Centre for the Development of Vocational Training, 1999.

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23

WHO Expert Committee on Drug Dependence., Hrsg. WHO Expert Committee on Drug Dependence: Twenty-ninth report. Geneva: World Health Organization, 1995.

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24

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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25

Forecasting Advective Sea Fog with the Use of Classification and Regression Tree Analyses for Kunsan Air Base. Storming Media, 2004.

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26

Analysis of the U.S. Marine Corps' Steady State Markov Model for Forecasting Annual First-Term Enlisted Classification Requirements. Storming Media, 1997.

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27

Bunde, Armin, Hans-Joachim Schellnhuber und Jürgen Kropp. Science of Disasters: Climate Disruptions, Heart Attacks, and Market Crashes. Springer London, Limited, 2012.

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28

Emploi-Avenir : Persepectives professionnelles / by Ministre du Développement des resources humaines. Ottawa, Ont. : Groupe Communication Canada, Édition, 1996.

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29

World Health Organization (WHO). WHO Expert Committee on Drug Dependence: Thirty-Fifth Report. World Health Organization, 2012.

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30

Kondrakiewicz, Dariusz. Prognozowanie i symulacje międzynarodowe. Instytut Europy Środkowej, 2021. http://dx.doi.org/10.36874/m21580.

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International forecasting and simulation is a study that summarizes research, in a shortened and integrated version. The thematic scope concerns the basic terminology and methodological issues of forecasts and the forecasting process itself, forecasting institutions and the final product, i.e. international forecasts. The main goal is to present and systematize basic knowledge in the field of forecasting in international relations. The book is generally aimed at all those interested in international affairs. However, the author hopes that the publication will also be helpful for researchers and analysts dealing with difficult issues of international forecasting in the field of their scientific research methodologies. The work consists of two parts – theoretical and empirical. The theoretical part includes two chapters. The first chapter begins by discussing the concepts of forecasting and simulation. Next, considerations were made about the place of forecasting in science, pointing out the existing dilemmas in this regard, and also discussed categories, classifications and functions of forecasting and simulation. The second chapter presents the main elements of the forecast and the phases of the forecasting process. Most space was devoted to the presentation of the most important methods of forecasting in international relations, not limiting itself only to discussing them, but also assessing their usefulness for formulating international forecasts. In the third chapter, which is of an empirical nature, the selected forecasting institutions are first discussed according to the division applied into typically research, university, governmental, international and private institutions. This classification is of a contractual nature, but corresponds to the basic functions performed by individual institutions. In the further part of this chapter, the most important – according to the author – ecological, demographic and political forecasts are presented, focusing on discussing the main consequences of their possible implementation for international relations.

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