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2010 Second International Seminar On Business and Information Management (ISBIM 2010)

作者： Na Li Business School Hohai University Nanjing,P.R.China Chuiyong Zheng Business School Hohai University Nanjing,P.R.China

Technological innovation is the power and source of enterprise *** to the fundamental principle of logistic regression model,the paper did a principle component analysis of the selected indicators system to get the value of the dependent variable in the logistic regression ***,empirical studies were conducted with relevant data,getting the logistic regression formula to divide the enterprises into non-innovative enterprises and innovation enterprises with significantly high accuracy rate,and the analysis of the factors affecting technological innovation capability was carried *** conclude that logistic regression model is an effective method for enterprise technological innovation capability research.

关键词： technological innovation capability technological innovative enterprises logistic regression model

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A SPATIALLY EXPLICIT model FOR MAPPING HEADWATER STREAMS

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JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION 2015年第1期51卷 226-239页

作者： Russell, Periann P. Gale, Susan M. Munoz, Breda Dorney, John R. Rubino, Matthew J. North Carolina Dept Environm & Nat Resources Div Water Resources Mail Serv Ctr 1650 Raleigh NC 27699 USA N Carolina State Univ Dept Forestry & Environm Resources Raleigh NC 27695 USA RTI Int Raleigh NC 27709 USA Atkins North Amer Raleigh NC 27609 USA N Carolina State Univ Dept Appl Ecol North Carolina Cooperat Fish & Wildlife Res Unit Raleigh NC 27695 USA

Headwater streams are the primary sources of water in a drainage network and serve as a critical hydrologic link between the surrounding landscape and larger, downstream surface waters. Many states, including North Carolina, regulate activity in and near headwater streams for the protection of water quality and aquatic resources. A fundamental tool for regulatory management is an accurate representation of streams on a map. Limited resources preclude field mapping every headwater stream and its origin across a large region. It is more practical to develop a model for headwater streams based on a sample of field data that can then be extrapolated to a larger area of interest. The North Carolina Division of Water Quality has developed a cost-effective method for modeling and mapping the location, length, and flow classification (intermittent and perennial) of headwater streams. We used a multiple logistic regression approach that combined field data and terrain derivatives for watersheds located in the Triassic Basins ecoregion. Field data were collected using a standard methodology for identifying headwater streams and origins. Terrain derivatives were generated from digital elevation models interpolated from bare-earth Light Detection and Range data. model accuracies greater than 80% were achieved in classifying stream presence and absence, stream length and perennial stream length, but were not as consistent in predicting intermittent stream length.

关键词： hydrology hydrologic model headwater streams stream mapping logistic regression model LiDAR GIS stream regulation

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Studies of Discriminant Analysis and logistic regression model Application in Credit Risk for China's Listed Companies

Studies of Discriminant Analysis and Logistic Regression Mod...

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2010年第十届中日统计研讨会

作者： ZHU, Kong-lai LI, Jing-jing University of Jinan

With the appearance of listed companies' credit issues and frequent credit crisis,investors are increasingly concerned about credit risk analysis for listed *** view of the current development methods of credit risk analysis and the importance of identifying corporate financial risk,this paper designed an effective indicator system and established the credit evaluation models of China's listed companies by taking advantage of their 2009 financial *** with the reality of China's listed companies,we use the established models to discriminate and *** result of empirical research on the credit risk analysis for listed companies is that logistic regression model is superior to discriminant analysis model.

关键词： Credit Risk Discriminant Analysis logistic regression model Principal Component Analysis

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The Listed Company's Credit Rating Based on logistic regression model Add non-financial Factors

The Listed Company's Credit Rating Based on Logistic Regress...

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2010 2nd International Conference on modeling, Simulation,and Visualization Methods(WMSVM 2010)

作者： Yong Wei Shouxiang Xu Software Engineering Department Shenzhen Institute of Information Technology Shenzhen,China Fanhua Meng Department of Economics and Management North China Electric Power University Baoding,China

This paper designs a set of enterprise credit rating index system,in addition to traditional financial ratios,it joined the non-financial *** used the logical regression approach to create company's credit rating ... 详细信息

关键词： list company non-financial factors logistic regression model

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The factors of female taxi drivers' speeding offenses in Taiwan

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TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 2015年第Jul.期32卷 35-45页

作者： Yeh, Ming-Shan Tseng, Chien-Ming Liu, Hsin-Hsien Tseng, Li-Shing Feng Chia Univ Dept Transportat Technol & Management Taichung 54407 Taiwan Minist Transportat & Commun Nantou City 54045 Taiwan Feng Chia Univ Ctr Adv Transportat Management Syst Taichung 40724 Taiwan

Females choosing taxi driving as a career is rare, therefore, investigating such samples is often difficult. Speeding is one of the most common driving violations, however, there has been no research looking into female taxi drivers' speeding issue. This study explores the factors of female taxi drivers' speeding offenses in Taiwan. Data is based on a national survey and includes 235 professional female taxi drivers. The results indicate that female taxi drivers work approximately 2737 days per month, at a mean of 9.76 h per day. Of the female taxi drivers represented in this study, 22.8% reported at least one speeding offense over a one-year period. The results of a logistic regression model reveal that the determinant factors associated with female taxi drivers' speeding offenses are significantly related to age, educational level and mileage driven. However, job experience, business operating style, and vehicle engine size are not associated with committing speeding offenses. Practical implications for traffic safety of female taxi drivers are also discussed. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Female taxi driver Speeding offense Driving status Educational level logistic regression model

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Quality Estimation of Resistance Spot Weld based on logistic regression Analysis of Welding Power Signal

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INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 2015年第13期16卷 2655-2663页

作者： Yu, Jiyoung Hyundai Steel Co Tech Res Ctr Dangjin Si 31719 Chungcheongnam South Korea

Resistance spot welds have a major effect on the stiffness and crashworthiness of a car body. Therefore, it is necessary to implement a monitoring method which predicts the weld quality of the resistance spot welding process, in order to ensure robust welds. In this study, the features and advantages of welding power signals were analyzed and a predictive model for weld quality was developed using a logistic regression model. The significance of variables, including;maximum value of welding power, electrode force, zinc coating, power drop, and so on, was examined and the multinomial logistic regression model was estimated using the significant variables. The accuracy of the predictive model for weld quality was estimated to be 96.4%. Also, the binary logistic model was estimated and a classification cutoff value was adjusted to control the prediction accuracy of the model.

关键词： Dynamic resistance logistic regression model Resistance spot welding Weld quality estimation Welding power

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Coherent forecasting for stationary time series of discrete data

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ASTA-ADVANCES IN STATISTICAL ANALYSIS 2015年第3期99卷 337-365页

作者： Maiti, Raju Biswas, Atanu Indian Stat Inst Appl Stat Unit Kolkata 700108 India

Coherent forecasting for discrete-valued stationary time series is considered in this article. In the context of count time series, different methods of coherent forecasting such as median forecasting and mode forecasting are used to obtain -step ahead coherent forecasting. However, there are not many existing works in the context of categorical time series. Here, we consider the case of a finite number of categories with different possible models, such as the Pegram's operator-based ARMA(,) model, the mixture transition distribution model and the logistic regression model, and study their -step ahead coherent forecasting. Some theoretical results are derived along with some numerical examples. To facilitate comparison among the three models, we use some forecasting measures. The procedure is illustrated using one real-life categorical data, namely the infant sleep status data.

关键词： Pegram's model Markov model MTD model logistic regression model Coherent forecasting

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Risk factors of recipient site infection in head and neck cancer patients undergoing pectoralis major myocutaneous flap reconstruction

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EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY 2015年第11期272卷 3475-3482页

作者： Wang, Chao-Hsien Wong, Yong-Kie Wang, Ching-Ping Wang, Chen-Chi Jiang, Rong-San Lai, Chih-Sheng Liu, Shih-An Taichung Vet Gen Hosp Dept Otolaryngol Taichung Taiwan Taichung Vet Gen Hosp Dept Oral & Maxillofacial Surg Taichung Taiwan Taichung Vet Gen Hosp Dept Plast & Reconstruct Surg Taichung Taiwan Natl Yang Ming Univ Sch Med Fac Med Taipei 112 Taiwan

The aim of this study was to investigate the factors associated with infection at the recipient site of pectoralis major myocutaneous flap (PMMF) of head and neck cancer patients. We retrospectively reviewed head and neck cancer patients who underwent PMMF reconstruction and identified those with recipient site infection. Variables of patients with and without infection were compared and associated factors were investigated by logistic regression model. A total of 478 patients were included in the final analysis and 183 patients (38.3 %) developed recipient site infection. Lower margin of skin island, concurrent tracheotomy, diabetes mellitus, mandibular plate reconstruction, prior radiation, and peri-operative blood transfusion were independent factors associated with recipient site infection of PMMF. Skin island of PMMF beyond the eighth intercostal space markedly increased the risk of recipient site infection after major head and neck cancer surgery. Recognition of relevant factors associated with infection may help surgeons to identify those at risk.

关键词： Head neck cancer Pectoralis major myocutaneous flap Surgical site infection Radiation logistic regression model

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Variable and boundary selection for functional data via multiclass logistic regression modeling

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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2014年 78卷 176-185页

作者： Matsui, Hidetoshi Kyushu Univ Fac Math Nishi Ku Fukuoka 8190395 Japan

Penalties with an l(1) norm provide solutions in which some coefficients are exactly zero and can be used for selecting variables in regression settings. When applied to the logistic regression model, they also can be used to select variables which affect classification. We focus on the form of l(1) penalties in logistic regression models for functional data, in particular, their use in classifying functions into three or more groups while simultaneously selecting variables or classification boundaries. We provide penalties that appropriately select the variables in functional multiclass logistic regression models. Analysis of simulation and real data show that the form of the penalty should be selected in accordance with the purpose of the analysis. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Functional data analysis Lasso logistic regression model model selection Regularization

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Carotid blowout in patients with head and neck cancer: Associated factors and treatment outcomes

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HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK 2015年第2期37卷 265-272页

作者： Chen, Yi-Juin Wang, Ching-Ping Wang, Chen-Chi Jiang, Rong-San Lin, Jin-Ching Liu, Shih-An Taichung Vet Gen Hosp Dept Otolaryngol Taichung Taiwan Taichung Vet Gen Hosp Dept Radiat Oncol Taichung Taiwan Natl Yang Ming Univ Fac Med Sch Med Taipei 112 Taiwan

BackgroundThe purpose of this study was to investigate factors associated with carotid blowout in the cervical portion of patients with head and neck cancer in a large cohort. MethodsWe reviewed patients with head and neck cancer and identified those with carotid blowout. Variables of patients with and without carotid blowout were compared and associated factors were investigated by logistic regression model. ResultsA total of 2590 patients were included in the final analysis and 102 patients (3.9%) developed carotid blowout in the cervical region. Body mass index (BMI) <22.5 kg/M-2, primary site in the hypopharynx or oropharynx, open wound in the neck requiring wet dressing, radical neck dissection, and total radiation dose to the neck 70 Gy were independent factors associated with carotid blowout. ConclusionAfter completion of treatment in patients with head and neck cancer, carotid blowout was an uncommon complication with catastrophic results. Recognition of associated factors helps physicians to identify those at risk. (c) 2014 Wiley Periodicals, Inc. Head Neck37: 265-272, 2015

关键词： head and neck cancer carotid blowout irradiation radical neck dissection logistic regression model

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