4,428 research outputs found

    Cai ji xian zhe cha sheng si mi fa

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    趙濂著.綫裝.框14.9x10.4公分, 12行40字, 無界行. 白口, 左右雙邊, 單黑魚尾. 版心中鐫卷次, 下鐫葉次.分上, 中, 下卷.卷三卷端題為"見証實錄"書名頁刻"光緖九年[1883]鐫"封面題簽署"影印古本醫學叢書之九, 上海中醫書局發行"《中國中醫古籍總目》(05869)著錄.附載: 採集先哲察生死秘法 / 趙濂編輯.鈐"莊兆祥印", "莊兆祥".Xian zhuang.Kuang 14.9 x 10.4 gong fen, 12 hang 40 zi, wu jie hang. Bai kou, zuo you shuang bian, dan hei yu wei. Ban xin zhong juan juan ci, xia juan ye ci.Fen shang, zhong, xia juan.Juan san juan duan ti wei "Jian zheng shi lu"Shu ming ye ke "Guangxu jiu nian [1883] juan"Feng mian ti qian shu "Ying yin gu ben yi xue cong shu zhi jiu, Shanghai Zhong yi shu ju fa xing"Detailed notes in vernacular field only.Zhao Lian zhu.Fu zai: Cai ji xian zhe cha sheng si mi fa / Zhao Lian bian ji.Qian "Zhuang Zhaoxiang yin", "Zhuang Zhaoxiang"

    A new class of multivariate counting processes and its characterization

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    In this paper, we suggest a new class of multivariate counting processes which generalizes and extends the multivariate generalized Polya process recently studied in Cha and Giorgio [On a class of multivariate counting processes, Adv. Appl. Probab. 48 (2016), pp. 443–462]. Initially, we define this multivariate counting process by means of mixing. For further characterization of it, we suggest an alternative definition, which facilitates convenient characterization of the proposed process. We also discuss the dependence structure of the proposed multivariate counting process and other stochastic properties such as the joint distributions of the number of events in an arbitrary interval or disjoint intervals and the conditional joint distribution of the arrival times of different types of events given the number of events. The corresponding marginal processes are also characterized

    Modelling of Marginally Regular Bivariate Counting Process and its Application to Shock Model

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    In this paper, we develop a new class of bivariate counting processes that have ‘marginal regularity’ property. But, the ‘pooled processes’ in the developed class of bivariate counting processes are not regular. Therefore, the proposed class of processes allows simultaneous occurrences of two types of events, which can be applicable in practical modeling of counting events. Initially, some basic properties of the new class of bivariate counting processes will be discussed. Based on the obtained properties, the joint distributions of the numbers of events in time intervals will be derived and the dependence structure of the bivariate process will be discussed. Furthermore, the marginal and conditional processes will be studied. The application of the proposed bivariate counting process to a shock model will also be considered. In addition, the generalization to the multivariate counting processes will be discussed briefl

    Beijing qu yi wan hui

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    Live recording.Electronic reproduction from Rulan Chao Pian V8 collection.Probably presented by : 北京大碗茶商貿集團公司.Performers, unknown.Sung in Chinese.Probably presented by : Beijing da wan cha shang mao ji tuan gong si

    Cha guan. [3 & 4]

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    1. 茶館 : side 3 -- 2. 茶館 : side 4.Section number supplied by cataloguer.Possibly reproduced from other commercial recording or radio broadcast (Pending for review)Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Spoken in Chinese.1. Cha guan : side 3 -- 2. Cha guan : side 4

    Cha guan. [1 & 2]

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    1. 茶館 : side 1 -- 2. 茶館 : side 2.Section number supplied by cataloguer.Possibly reproduced from other commercial recording or radio broadcast (Pending for review)Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Spoken in Chinese.1. Cha guan : side 1 -- 2. Cha guan : side 2

    Beijing Yuan dai shi ji tu zhi

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    Ben shu yi ji shu wen wu wei zhu, zhi ji li shi yi cun he xian zhuang, bu zuo ping shu. Ben shu suo shou wen wu tiao mu jin xian yu xian zai Beijing suo xia fan wei. Ben shu suo shou wen wu zhi xian yu Yuan dai. Diao cha nei rong fen lei ji shu, gong fen wei wu le

    Dong you kao cha zheng zhi cong lu /

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    Ci zi dong ren you jin shi guan bi ye ju xue bu feng pai fu Dong kao cha zheng zhi ji qi shi yu ren.Mode of access: Internet
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