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Your search keyword '"Yao, Ping"' showing total 26 results
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26 results on '"Yao, Ping"'

5. Chinese Autobiographical Writing

Author

Ebrey, Patricia Buckley, Zhang, Cong Ellen, and Yao, Ping

Subjects
Biography: general, Asian history
Abstract

Personal accounts help us understand notions of self, interpersonal relations, and historical events. Chinese Autobiographical Writing contains full translations of works by fifty individuals that illuminate the history and conventions of writing about oneself in the Chinese tradition. From poetry, letters, and diaries to statements in legal proceedings, these engaging and readable works draw us into the past and provide vivid details of life as it was lived from the pre-imperial period to the nineteenth century. Some focus on a person’s entire life, others on a specific moment. Some have an element of humor, others are entirely serious. Taken together, these selections offer an intimate view of how Chinese men and women, both famous and obscure, reflected on their experiences as well as their personal struggles and innermost thoughts. With an introduction and list of additional readings for each selection, this volume is ideal for undergraduate courses on Chinese history, literature, religion, and women and family. Read individually, each piece illuminates a person, place, and moment. Read in chronological order, they highlight cultural change over time by showing how people explored new ways to represent themselves in writing. The open access publication of this book was made possible by a grant from the James P. Geiss and Margaret Y. Hsu Foundation.

Published
2023
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6. Overgrowth

Author

Wang, Wei, primary, Tian, Wen, additional, Yao, Ping, additional, Fang, Suting, additional, Zhao, Fengjing, additional, Yao, Jianmin, additional, and Zhao, Junhui, additional

Published
2017
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7. Disorders of Formation of Upper Limbs

Author

Wang, Bin, primary, Wang, Wei, additional, Yao, Ping, additional, Gong, Xu, additional, Lu, Laijin, additional, Chen, Bo, additional, Yao, Jianmin, additional, Zhang, Longchun, additional, Ni, Feng, additional, and Tian, Fei, additional

Published
2017
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24. Information in a Two-stage Adaptive Optimal Design for Normal Random Variables having a One Parameter Exponential Mean Function.

Author

Yao, Ping and Flournoy, Nancy

Abstract

This paper explores the characteristics of information derived from sequentially implementing estimated optimal designs. In such sequential experiments, called adaptive optimal designs, each adaptive design stage uses an optimal design estimated from the data obtained in all prior stages. The measure that is used in adaptive optimal designs to construct treatment allocation procedures is, by definition, neither the observed nor the expected (Fisher) information. We explore these information measures in the context of a two-stage adaptive optimal design under a simple model. Specifically, random variables are assumed to be normal with a one parameter exponential mean function. With this model, some explicit results are obtained. [ABSTRACT FROM AUTHOR]

Published
2010
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25. Integrating Generalized Linear Auto-Regression and Artificial Neural Networks for Coal Demand Forecasting.

Author

Yao, Ping

Abstract

In this study, a novel combined forecasting model integrating generalized linear auto-regression (GLAR) with artificial neural networks (ANN) was proposed to obtain accurate prediction results and ameliorate forecasting performances. We compare the performance of the new model with the two individual forecasting models-GLAR and ANN. Empirical results obtained reveal that the prediction using the combined model is generally better than those obtained using the individual model of GLAR and ANN in terms of the same evaluation measurements. Our findings reveal that the combined model proposed here can be used as an alternative forecasting tool for coal demand to achieve greater forecasting accuracy and improve prediction quality further. [ABSTRACT FROM AUTHOR]

Published
2009
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26. Credit Risk Assessment Model of Commercial Banks Based on Fuzzy Neural Network.

Author

Yao, Ping, Wu, Chong, and Yao, Minghui

Abstract

A commercial bank credit risk assessment model based on fuzzy neural network has been established using the credit assessment index system established for commercial banks. This network is a 6 layered structure with 4 factor inputs and one output measuring the credit risk of commercial banks. The fuzzy rule layer has the capability of making necessary adjustments in accordance with specific conditions of problems. The operation of this model is much better than the totally black-box operation of a neural system. A substantiation analysis has been made with 167 observations as sample data; training results indicate that the network prediction has less error. [ABSTRACT FROM AUTHOR]

Published
2009
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