831,638 research outputs found
Liu shi yu dan si ji
No full text劉鳳著.綫裝, 1函.框20.1x13.6公分, 9行18字. 白口, 左右雙邊, 單黑魚尾. 版心上鐫"澹思集", 中鐫卷次, 下鐫葉次及"劉漙卿刻"書名及版式據卷三.書根題"劉侍御澹思集", 每冊書根題後分別錄"樂", "御", "書", "數"見《香港中文大學圖書館古籍善本書錄》(2001, p. 244)鈐有"天一閣", "沈氏鳴野山房圖籍印"Library's copy: 館存卷三至五, 卷九至十六, 共四冊 ; 缺卷一至二[v.1], 卷六至八[v.3]Xian zhuang, 1 han.Kuang 20.1 x 13.6 gong fen, 9 hang 18 zi. Bai kou, zuo you shuang bian, dan hei yu wei. Ban xin shang juan "Dan si ji", zhong juan juan ci, xia juan ye ci ji "Liu Tuanqing ke"Shu ming ji ban shi ju juan san.Shu gen ti "Liu shi yu dan si ji", mei ce shu gen ti hou fen bie lu "Yue", "Yu", "Shu", "Shu"Jian "Xianggang Zhong wen da xue tu shu guan gu ji shan ben shu lu" (2001, p. 244)Liu Feng zhu.Qian you "Tian yi ge", "Shen shi Ming ye shan fang tu ji yin"Library's copy: guan cun juan san zhi wu, juan jiu zhi shi liu, gong si ce ; que juan yi zhi er [v.1], juan liu zhi ba [v.3
Optimal simultaneous confidence bands in multiple linear regression with predictor variables constrained in an ellipsoidal region
No full textA simultaneous confidence band provides useful information on the plausible range of an unknown regression model function, just as a confidence interval gives the plausible range of an unknown parameter. For a multiple linear regression model, confidence bands of different shapes, such as the hyperbolic band and the constant width band, can be constructed and the predictor variable region over which a confidence band is constructed can take various forms. One interesting but unsolved problem is to find the optimal (shape) confidence band over an ellipsoidal region ? E under the Minimum Volume Confidence Set (MVCS) criterion of Liu and Hayter (2007) and Liu et al. (2009). This problem is challenging as it involves optimization over an unknown function that determines the shape of the confidence band over ? E . As a step towards solving this difficult problem, in this paper, we introduce a family of confidence bands over ? E , called the inner-hyperbolic bands, which includes the hyperbolic and constant-width bands as special cases. We then search for the optimal confidence band within this family under the MVCS criterion. The conclusion from this study is that the hyperbolic band is not optimal even within this family of inner-hyperbolic bands and so cannot be the overall optimal band. On the other hand, the constant width band can be optimal within the family of inner-hyperbolic bands when the region ? E is small and so might be the overall optimal band
Comparison of hyperbolic and constant width simultaneous confidence bands in multiple linear regression under MVCS criterion
No full textA simultaneous confidence band provides useful information on the plausible range of the unknown regression model, and different confidence bands can often be constructed for the same regression model. For a simple regression line, Liu and Hayter (2007) propose use of the area of the confidence set corresponding to a confidence band as an optimality criterion in comparison of confidence bands; the smaller the area of the confidence set, the better the corresponding confidence band. This minimum area confidence set (MACS) criterion can begeneralized to a minimum volume confidence set (MVCS) criterion in the study of confidence bands for a multiple linear regression model. In this paper hyperbolic and constant width confidence bands for a multiple linear regression model over a particular ellipsoidal region of the predictor variables are compared under the MVCS criterion. It is observed that whether one band is better than the other depends on the magnitude of one particular angle that determines the size of the predictor variable region. When the angle and so the size of the predictor variable region is small, the constant width band is better than the hyperbolic band but only marginally. When the angle and so the size of the predictor variable region is large the hyperbolic band can be substantially better than the constant width band
Comparison of hyperbolic and constant width simultaneous confidence bands in multiple linear regression under MVCS criterion
No full textA simultaneous confidence band provides useful information on the plausible range of the unknown regression model, and different confidence bands can often be constructed for the same regression model. For a simple regression line, Liu and Hayter [W. Liu, A.J. Hayter, Minimum area confidence set optimality for confidence bands in simple linear regression, J. Amer. Statist. Assoc. 102 (477) (2007) pp. 181–190] proposed the use of the area of the confidence set corresponding to a confidence band as an optimality criterion in comparison of confidence bands; the smaller the area of the confidence set, the better the corresponding confidence band. This minimum area confidence set (MACS) criterion can be generalized to a minimum volume confidence set (MVCS) criterion in the study of confidence bands for a multiple linear regression model. In this paper hyperbolic and constant width confidence bands for a multiple linear regression model over a particular ellipsoidal region of the predictor variables are compared under the MVCS criterion. It is observed that whether one band is better than the other depends on the magnitude of one particular angle that determines the size of the predictor variable region. When the angle and hence the size of the predictor variable region is small, the constant width band is better than the hyperbolic band but only marginally. When the angle and hence the size of the predictor variable region is large the hyperbolic band can be substantially better than the constant width band
A Subband-Selective Broadband GSC with Cosine-Modulated Blocking Matrix
Full text linkIn this paper, a novel subband-selective generalized sidelobe canceller (GSC) for partially adaptive broadband beamforming is proposed. The columns of the blocking matrix are derived from a prototype vector by cosine-modulation, and the broadside constraint is incorporated by imposing zeros on the prototype vector appropriately. These columns constitute a series of bandpass filters, which select signals with specific angles of arrival and frequencies. This results in highpass-type bandlimited spectra of the blocking matrix outputs, which is further exploited by subbands decomposition and suitably discarding the low-pass subbands prior to running independent unconstrained adaptive filters in each non-redundant subband. By these steps, the computational complexity of a GSC implementation is greatly reduced compared to fully adaptive GSC schemes, while performance is comparable or even enhanced due to subband decorrelation in both spatial and temporal domains
Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19. Liu et al
No full textSupplemental Tables 1-7 for the paper: Can Liu, Andrew J. Martins, William W. Lau, Nicholas Rachmaninoff, ..., John S. Tsang. (2021). "Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19." Cell. In Press
Letter from Carl Hayden to George W. P. Hunt
No full textLetter from Carl Hayden to Governor George W. P. Hunt asking the governor to submit the idea of a national park near the rim of the Grand Canyon to the state legislature during the special session. Hayden mentions the state of Arizona would be charged about 1.25 an acre. W. W. Bass and Bass Camp are also included in the letter
Letter from George W. P. Hunt to President Calvin Coolidge
No full textLetter from Governor George W. P. Hunt to Calvin Coolidge arguing for more autonomy in Arizona state matters
Letter from George W. P. Hunt to Carl Hayden
No full textLetter from Governor George W. P. Hunt to Carl Hayden expressing his support for legislation that would grant National Park status to the Grand Canyon
ZHANG, F. & LIU, X-W. (2009) A review of the subgenus Diestrammena (Gymnaeta) from China (Orthoptera: Rhaphidophoridae Aemodogryllinae). Zootaxa, 2272, 21-36.
No full textZhang, F., Liu, X-W. (2009): ZHANG, F. & LIU, X-W. (2009) A review of the subgenus Diestrammena (Gymnaeta) from China (Orthoptera: Rhaphidophoridae Aemodogryllinae). Zootaxa, 2272, 21-36. Zootaxa 2288 (1): 68, DOI: 10.11646/zootaxa.2288.1.5, URL: http://dx.doi.org/10.11646/zootaxa.2288.1.
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