Predicting Fluctuation Impacts
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Predicting Fluctuation Impacts
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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2019-03-09
Predicting Fluctuation Impacts written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-09 with Business & Economics categories.
Can transportation system factor influence tourist individual travelling desination decision? it depends on the tourist individual attitude or transport needs of decisions. For example, if the city , e.g. New York has many tourists, who are high income, young gender, high education level tourists. Then, they will choose more expensive and comforable train more than cheap and not comfortable bus transportation tool. So, I assume that the year has many high income, high education , high social class occupation tourists arrive US , New York city . Then, they will choose train more than bus transportation tool to go to anywhere to travel in New York city. So, it is not represent that the city has many cheaper public transportation tool, such as many buses number to be supplied , the bus public public transporation tool can bring more income to attract overseas tourists to come to New York travel. It depends on whether the tourist individual characteristics, e.g. high or low income, more or less comfortable transportion tool supplies needs or high or low educational level, alone tourist or family tourist or friend relationship tourist. Any one of these tourist individul psychological factors will influence the tourist to choose either cheap and less comfortable public tool system or expensive and more comfortable public tool system to be supplied to the city to travel. So, the city's comfortable or not comfortable public transportation tool supplies which will influence the overseas tourists how to choose the city to travel.However, on the tourist's habitual behavior of catching which kind of transportation tools, this factor will bring to influence how to choose the kind of transportation tool(s) whether the city can provide choice to let the overseas tourist to make where travelling decision when he/she arrives to the coutry. However, his/her transporatin tool catching habit will be possible to influenc whose travel times for public transport use, instead of which kind of transport tool(s) he/she will choose to catch when he/she arrives the country to travel. In conclusion, the tourist's age, income, occupation, education level will influence how the tourist's transportation choice in himself/herself country, then it also bring this question: will influence the tourist individual destination choice if the country can provide or can not provide the kind of public transportation tool(s) to let the tourist to choose to catch in his/her journey in the country's city. Hence, it explains that why every country's pubic transporation tool supplies will influence the tourist to choose where to travel in the country.4.1What are usually travel behaviorsand attitudes to disabled touristsWhat factors can affect the travel behaviors of people with disabilites by ages and lifestyle variable factors? When one person is disable, he/she will have different behaviors to satisfy whose needs in whose whole travelling journey. In special , the older age and younger age disable tourists who will have diffeent travelling needs. In fact, the disabled tourists won't easy to go anywhere travelling destinations in whose whole travelling journey. So, it seems that the travelling entertainment needs won't be very much to these younger or older disabled tourists. Moreover, people with disabilities travel will be compare with people without disabilities. So, it is one key to explain why the travelling entertainment purposes or needs to disable people which are lesser than the people without disabilities.
A Forecasting Model Based On High Order Fluctuation Trends And Information Entropy
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Author : Hongjun Guan
language : en
Publisher: Infinite Study
Release Date :
A Forecasting Model Based On High Order Fluctuation Trends And Information Entropy written by Hongjun Guan and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Most existing high-order prediction models abstract logical rules that are based on historical discrete states without considering historical inconsistency and fluctuation trends. In fact, these two characteristics are important for describing historical fluctuations. This paper proposes a model based on logical rules abstracted from historical dynamic fluctuation trends and the corresponding inconsistencies. In the logical rule training stage, the dynamic trend states of up and down are mapped to the two dimensions of truth-membership and false-membership of neutrosophic sets, respectively. Meanwhile, information entropy is employed to quantify the inconsistency of a period of history, which is mapped to the indeterminercy-membership of the neutrosophic sets. In the forecasting stage, the similarities among the neutrosophic sets are employed to locate the most similar left side of the logical relationship. Therefore, the two characteristics of the fluctuation trends and inconsistency assist with the future forecasting. The proposed model extends existing high-order fuzzy logical relationships (FLRs) to neutrosophic logical relationships (NLRs). When compared with traditional discrete high-order FLRs, the proposed NLRs have higher generality and handle the problem caused by the lack of rules. The proposed method is then implemented to forecast Taiwan Stock Exchange CapitalizationWeighted Stock Index and Heng Seng Index. The experimental conclusions indicate that the model has stable prediction ability for different data sets. Simultaneously, comparing the prediction error with other approaches also proves that the model has outstanding prediction accuracy and universality.
Economic Fluctuations And Forecasting
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Author : Edward James Chambers
language : en
Publisher:
Release Date : 2012-03-01
Economic Fluctuations And Forecasting written by Edward James Chambers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-01 with categories.
Exchange Rate Forecasting
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Author : Christian Dunis
language : en
Publisher: Irwin Professional Publishing
Release Date : 1989
Exchange Rate Forecasting written by Christian Dunis and has been published by Irwin Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Foreign exchange categories.
Exchange Rate Forecasting Techniques Survey Data And Implications For The Foreign Exchange Market
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Author : Jeffrey A. Frankel
language : en
Publisher:
Release Date : 1990
Exchange Rate Forecasting Techniques Survey Data And Implications For The Foreign Exchange Market written by Jeffrey A. Frankel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Foreign exchange categories.
The paper presents new empirical results that elucidate the dynamics of the foreign exchange market. The first half of the paper is an updated study of the exchange rate expectations held by market participants, as reflected in responses to surveys, and contains the following conclusions. First, the bias observed in the forward discount as a predictor of the future spot rate is not attributable to an exchange risk premium, as is conventionally believed. Second, at short horizons forecasters tend to extrapolate recent trends, while at long horizons they tend to forecast a reversal. Third, the bias in expectations is robust in the samples, based on eight years of data across five currencies. The second half of the paper abandons the framework in which all market participants share the same forecast, to focus on the importance of heterogeneous expectations. Tests suggest that dispersion of opinion, as reflected in the standard deviation across respondents in the survey, affects the volume of trading in the market, and, in turn, the degree of volatility of the exchange rate. An example of how conflicting forecasts can lead to swings in the exchange rate is the model of "chartists and fundamentalists." The market weights assigned to the two models fluctuate over time in response to recent developments, leading to fluctuations in the demand for foreign currency. The paper ends with one piece of evidence to support the model: the fraction of foreign exchange forecasting services that use "technical analysis" did indeed increase sharply during 1983-85, but declined subsequently
Foreign Exchange Rate Forecasting With Artificial Neural Networks
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Author : Lean Yu
language : en
Publisher: Springer
Release Date : 2010-11-25
Foreign Exchange Rate Forecasting With Artificial Neural Networks written by Lean Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-25 with Business & Economics categories.
This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.
Prediction Of The Pressure Fluctuations Associated With Maneuvering Reentry Weapons
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Author : Anthony L. Laganelli
language : en
Publisher:
Release Date : 1984
Prediction Of The Pressure Fluctuations Associated With Maneuvering Reentry Weapons written by Anthony L. Laganelli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Ballistic missiles categories.
An experimental program was conducted at the AEDC von Karman facility, Tunnels A and B, in which acoustic pressure fluctuation data were acquired on a 7 degree half-cone-angle model featuring a control surface. The objective was to define the aeroacoustic environment applicable to re-entry vibration response analysis for both ballistic and maneuvering vehicles. Wind tunnel measurements were obtained at Mach 4 and 8 for several values of freestream Reynolds number and model angle of attack. Stationary zones of laminar, transitional, and turbulent flow over the model were achieved. Acoustic data were reduced to rms fluctuating pressure, and power and cross-power spectral densities. Results were normalized using local boundary layer parameters for comparison with previous high speed measurements. The present study re-examined the aeroacoustic environment prediction capability relative to compressible flow conditions. Moreover, boundary layer characteristic lengths and velocities were reviewed in order to develop normalization procedures required for development of appropriate aeroacoustic scaling laws. It was determined that fluctuating pressure characteristics described by incompressible theory as well as empirical correlations could be modified to a compressible state through a transformation function. In this manner, compressible data were transformed to the incompressible plane where direct use of more tractable prediction techniques are available for engineering design analyses.
Forecasting Principles And Practice
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Author : Rob J Hyndman
language : en
Publisher: OTexts
Release Date : 2018-05-08
Forecasting Principles And Practice written by Rob J Hyndman and has been published by OTexts this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-08 with Business & Economics categories.
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Wavelet Methods For Time Series Analysis
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Author : Donald B. Percival
language : en
Publisher: Cambridge University Press
Release Date : 2006-02-27
Wavelet Methods For Time Series Analysis written by Donald B. Percival and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-27 with Mathematics categories.
This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises - with complete solutions provided in the Appendix - allow readers to use the book for self-guided study. Additional exercises can be used in a classroom setting. A Web site offers access to the time series and wavelets used in the book, as well as information on accessing software in S-Plus and other languages. Students and researchers wishing to use wavelet methods to analyze time series will find this book essential.
The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-05
The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Business & Economics categories.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.