Adaptive Modelling, Estimation and Fusion from Data, Chris Harris; Xia Hong; Qiang Gan
Автор: Longford, Nicholas T. (de Montfort University) Название: Missing data and small-area estimation ISBN: 1849969078 ISBN-13(EAN): 9781849969079 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute to the development of government statistics, in exchange for access to the operational details and background that would inform the direction and sharpen the focus of a- demic research.
Автор: Florian Jacob Название: Risk Estimation on High Frequency Financial Data ISBN: 3658093889 ISBN-13(EAN): 9783658093884 Издательство: Springer Рейтинг: Цена: 7836.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: By studying the ability of the Normal Tempered Stable (NTS) model to fit thestatistical features of intraday data at a 5 min sampling frequency, Florian Jacobs extends the research on high frequency data as well as the appliance of tempered stable models.
Автор: Il Do Ha; Jong-Hyeon Jeong; Youngjo Lee Название: Statistical Modelling of Survival Data with Random Effects ISBN: 9811065551 ISBN-13(EAN): 9789811065552 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions.
Автор: Timothy G. Gregoire; David R. Brillinger; Peter Di Название: Modelling Longitudinal and Spatially Correlated Data ISBN: 0387982167 ISBN-13(EAN): 9780387982168 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This refereed volume includes papers presented at a conference on modelling longitudinal and spatially correlated data. Many of the best researchers in the world have presented papers in an area with important applications to biostatistics and the environmental sciences.
Автор: Francesc Soriguera Mart? Название: Highway Travel Time Estimation With Data Fusion ISBN: 3662488566 ISBN-13(EAN): 9783662488560 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph presents a simple,innovative approach for the measurement and short-term prediction of highwaytravel times based on the fusion of inductive loop detector and toll ticketdata.
Описание: Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. There is "good news" and "bad news" associated with theoretical research in neural networks.
Автор: V. Vapnik; S. Kotz Название: Estimation of Dependences Based on Empirical Data ISBN: 1441921583 ISBN-13(EAN): 9781441921581 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One such model fits the data very well. Three models are fit to the data: i) a homogeneous Bernoulli model. under which victimization is independent from month to month ii) a correlated Bernoulli model. The other two models fit the 1975 data well.
Автор: Jacques Janssen; Christos H. Skiadas; Constantin Z Название: Advances in Stochastic Modelling and Data Analysis ISBN: 0792335643 ISBN-13(EAN): 9780792335641 Издательство: Springer Рейтинг: Цена: 16764.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text presents developments in the field, together with their applications, in the areas of insurance, finance, forecasting and marketing. The possible interactions between data analysis, artificial intelligence, decision-support systems and multicriteria analysis are also examined.
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