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Titlebook: Manual of Clinical Oncology; Charles D. Sherman (Chairman, UICC Professional Ed Textbook 19905th edition Springer-Verlag Berlin Heidelberg

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發(fā)表于 2025-3-21 18:01:28 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Manual of Clinical Oncology
編輯Charles D. Sherman (Chairman, UICC Professional Ed
視頻videohttp://file.papertrans.cn/624/623502/623502.mp4
叢書名稱UICC International Union Against Cancer
圖書封面Titlebook: Manual of Clinical Oncology;  Charles D. Sherman (Chairman, UICC Professional Ed Textbook 19905th edition Springer-Verlag Berlin Heidelberg
出版日期Textbook 19905th edition
關(guān)鍵詞Chirurgie; Geschwulst; Innere Medizin; Krebs; Onkologie; cancer; internal medicine; medicine; oncology; surge
版次5
doihttps://doi.org/10.1007/978-3-642-97267-6
isbn_ebook978-3-642-97267-6
copyrightSpringer-Verlag Berlin Heidelberg 1990
The information of publication is updating

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procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue, by exhibiting mathematical tools which treat combination of evidence in the
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S. Eckhardtanyone familiar with elementary probability theory and linear algebra. The basic idea of pricing by arbitrage (or, rather, by nonarbitrage) is presented in Chapter 1. The unique price for a European option in a single- period binomial model is given and then extended to multi-period binomial models.
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S. Eckhardtmiliar with elementary probability theory and linear algebra. The basic idea of pricing by arbitrage (or, rather, by non-arbitrage) is presented in Chapter 1. The unique price for a European option in a single-period binomial model is given and then extended to multi-period binomial models. Chapter
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R. R. Lovemiliar with elementary probability theory and linear algebra. The basic idea of pricing by arbitrage (or, rather, by non-arbitrage) is presented in Chapter 1. The unique price for a European option in a single-period binomial model is given and then extended to multi-period binomial models. Chapter
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