Titlebook: Mathematik; Grundlagen für die F Heinz Rapp Book 1996 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden 1996 Funktion.G

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書目名稱Mathematik影響因子(影響力)




書目名稱Mathematik影響因子(影響力)學(xué)科排名




書目名稱Mathematik網(wǎng)絡(luò)公開度




書目名稱Mathematik網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Mathematik被引頻次




書目名稱Mathematik被引頻次學(xué)科排名




書目名稱Mathematik年度引用




書目名稱Mathematik年度引用學(xué)科排名




書目名稱Mathematik讀者反饋




書目名稱Mathematik讀者反饋學(xué)科排名

Galactogogue

Heinz Rappand research questions. Chapters cover: clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curve..?.978-3-319-36817-7978-3-319-19518-6Series ISSN 2624-9987 Series E-ISSN 2624-9995

Explicate

Heinz Rappble and scalable variational inference methods..This book is a?valuable?reference?resource for?researchers and designers in?the field?of robot learning and multimodal perception, as well as for senior undergrad978-981-15-6265-5978-981-15-6263-1

四牛在彎曲

Heinz Rappchnical, scale and allocative efficiency in chapter 2. In chapter 3, we extend the DEA models to control for exogenous factors of production. SAS code is also provided to estimate all public sector models. We u978-1-4899-7858-5978-1-4899-7469-3Series ISSN 0884-8289 Series E-ISSN 2214-7934

aristocracy

Heinz Rappagainst theory, this book is really an interface of these two features of statistics. A special effort has been made in writing this book to accommodate several levels of reading. The computational aspects are 978-1-4419-2141-3978-0-387-36620-3Series ISSN 0172-7397 Series E-ISSN 2197-568X

aggrieve

AXIS

Heinz Rappagainst theory, this book is really an interface of these two features of statistics. A special effort has been made in writing this book to accommodate several levels of reading. The computational aspects are 978-1-4419-2141-3978-0-387-36620-3Series ISSN 0172-7397 Series E-ISSN 2197-568X

Nostalgia

an provide a reasonable alternative to the use of non-homogenous Hidden Markov models, further allowing unsupervised clustering of the observations in an unknown number of states. The usefulness of the approach in biostatistical applications is discussed and explicitly shown for the detection of chr

STANT

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