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Titlebook: Recent Advances in Modeling and Forecasting Kaiyu; Tools for Predicting Saburo Saito,Kenichi Ishibashi,Kosuke Yamashiro Book 2023 Springer

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發(fā)表于 2025-3-21 16:55:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Advances in Modeling and Forecasting Kaiyu
副標(biāo)題Tools for Predicting
編輯Saburo Saito,Kenichi Ishibashi,Kosuke Yamashiro
視頻videohttp://file.papertrans.cn/823/822892/822892.mp4
概述Extends the Huff model via multivariate probabilistic to multivariate frequency Poisson.Shows the Kaiyu Markov model and its unified use with multivariate Poisson and consistent estimation.Provides ba
叢書名稱New Frontiers in Regional Science: Asian Perspectives
圖書封面Titlebook: Recent Advances in Modeling and Forecasting Kaiyu; Tools for Predicting Saburo Saito,Kenichi Ishibashi,Kosuke Yamashiro Book 2023 Springer
描述.This book is the first comprehensive presentation of a Kaiyu Markov model with covariates and a multivariate Poisson model with competitive destinations. These two models are core techniques when the authors and colleagues conduct their Kaiyu studies. The two models are usually used to forecast the effects of specific urban redevelopment on both the number of visitors and consumer shop-around or Kaiyu movements. Their Kaiyu studies originated from the constructions of a Kaiyu Markov model and the disaggregated hierarchical decision Huff model almost simultaneously around the early 1980s. This book retrospectively reviews how these models have evolved from the start to the present state, and previews the ongoing efforts to make further extensions of these models. The extension of the Huff model started from the disaggregated hierarchical decision Huff model with shop-arounds. In retrospect, the model formulated the consumer’s simultaneous choice of destinations as a joint probability. The mechanism to determine this joint probability was a recursive conditional probability system. Now the Huff model has shifted from joint probability to multivariate frequency Poisson with competiti
出版日期Book 2023
關(guān)鍵詞Kaiyu; Shop-Around; Huff Model; Kaiyu Markov; Multivariate Poisson; Policy Evaluation; Urban Development
版次1
doihttps://doi.org/10.1007/978-981-99-1241-4
isbn_softcover978-981-99-1243-8
isbn_ebook978-981-99-1241-4Series ISSN 2199-5974 Series E-ISSN 2199-5982
issn_series 2199-5974
copyrightSpringer Nature Singapore Pte Ltd. 2023
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