Titlebook: Advanced Data Analysis in Neuroscience; Integrating Statisti Daniel Durstewitz Textbook 2017 Springer International Publishing AG 2017 stat

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書目名稱Advanced Data Analysis in Neuroscience影響因子(影響力)




書目名稱Advanced Data Analysis in Neuroscience影響因子(影響力)學(xué)科排名




書目名稱Advanced Data Analysis in Neuroscience網(wǎng)絡(luò)公開度




書目名稱Advanced Data Analysis in Neuroscience網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Data Analysis in Neuroscience被引頻次




書目名稱Advanced Data Analysis in Neuroscience被引頻次學(xué)科排名




書目名稱Advanced Data Analysis in Neuroscience年度引用




書目名稱Advanced Data Analysis in Neuroscience年度引用學(xué)科排名




書目名稱Advanced Data Analysis in Neuroscience讀者反饋




書目名稱Advanced Data Analysis in Neuroscience讀者反饋學(xué)科排名

鉗子

FILLY

Classification Problems,rsonal financial planning process by teaching readers how to.Implementing a financial plan to manage the future is very important. If you have not assembled such a plan, or even if you have not thought about how best to manage your financial future, the time to do so is now, and the resource you nee

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Model Complexity and Selection, accumulated wealth.Covers all the financial bases you can r.Get your financial life in order. This comprehensive and objective guidebook will help you grow your net worth on a steady and increasing basis, regardless of your income level..This new and expanded edition covers changes and strategies t

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PURG

Dimensionality Reduction,arn how to improve your company’s cash flow, better manage y.More than half of all businesses in the U.S. don’t make it to their fifth birthday, and nearly 70 percent are gone by year ten. How do businesses get into trouble? A hundred different ways. Poor cash flow, undercapitalization, lax financia

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Blatant

Time Series from a Nonlinear Dynamical Systems Perspective, basic component of integrated circuits, the Metal Oxide Semiconductor Field Effect Transistor (MOSFET), together with the dimension downscaling of interconnects..While the 45 nm technology node is entering in production, the scaling of MOS-FETs to the 22 nm technology node and beyond is anticipated

FLIP

Back Matters-UC for over fifteen years. Directed primarily to electrical engineering upperclassmen and graduate students, the material also has been used successfully by graduate students in physics and ceramic and metallurgical engineering. It is suitable for self-study by engineers trained in other disciplin

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Daniel DurstewitzDesigned for use as a textbook in statistics for students from the neuro- and biosciences.Integrates statistical analysis with a dynamical systems perspective and computational modeling.Reviews almost