Matthew Burke – författare
748 kr
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Master Oracle Enterprise Manager Cloud Control 12c
Achieve peak database efficiency and derive unprecedented value from your corporate assets by implementing an end-to-end cloud computing solution. Oracle Enterprise Manager Cloud Control 12c Deep Dive thoroughly explains best practices for deployment, administration, and monitoring. Learn how to prepare and install Oracle Enterprise Manager Cloud Control 12c, use agents, apply system-wide patches, perform real-time diagnostics, and discover, monitor, and administer hosts, databases, and middleware. Security and select plug-ins are also fully covered in this Oracle Press guide.
Install and configure Oracle Enterprise Manager Cloud Control 12cDeploy management agents in one of six available waysHandle security with Cloud Control administrators, roles, and credentialsTrack performance with SQL monitoring and Active Session History (ASH) analyticsDynamically provision middleware and enterprise applicationsWork with Oracle Exadata and Oracle Exalogic Elastic CloudForce policy compliance and employ global change detectionManage and monitor hosts, virtual machines, and server pools
557 kr
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“The book will form a solid foundation to support the transition of students into the world of work or further research.”
Professor Jane M Binner, Chair of Finance, Department of Finance, University of Birmingham, UK
“In over 20 years of teaching quantitative methods, I have rarely come across a book such as this which meets/exceeds all the expectations of its intended audience so well”
Tuan Yu, Lecturer, Kent Business School, Canterbury, UK
“This is a fantastic book for anyone wanting to understand, learn and apply quantitative methods in finance using R”
Professor Raphael Markellos, Professor of Finance, Norwich Business School, UK
Quantitative Methods in Finance Using R draws on the extensive teaching and research expertise of John Fry and Matt Burke, covering a wide range of quantitative methods in Finance that utilise the freely downloadable R software. With software playing an increasingly important role in finance, this book is a must-have introduction for finance students who want to explore how they can undertake their own quantitative analyses in dissertation and project work.
Assuming no prior knowledge, and taking a holistic approach, this brand new title guides you from first principles and help to build your confidence in tackling large data sets in R.
Complete with examples and exercises with worked solutions, Fry and Burke demonstrate how to use the R freeware for regression and linear modelling, with attention given to presentation and the importance of good writing and presentation skills in project work and data analysis more generally.
Through this book, you will develop your understanding of:
•Descriptive statistics
•Inferential statistics
•Regression
•Analysis of variance
•Probability regression models
•Mixed models
•Financial and non-financial time series
John Fry is a senior lecturer in Applied Mathematics at the University of Hull. Fry has a PhD in Mathematical Finance from the University of Sheffield. His main research interests span mathematical finance, econophysics, statistics and operations research.
Matt Burke is a senior lecturer in Finance at Sheffield Hallam University. He holds a PhD in Finance from the University of East Anglia. Burke’s main research interests lie in asset pricing and climate finance.
551 kr
Läs direkt efter köp
“The book will form a solid foundation to support the transition of students into the world of work or further research.”
Professor Jane M Binner, Chair of Finance, Department of Finance, University of Birmingham, UK
“In over 20 years of teaching quantitative methods, I have rarely come across a book such as this which meets/exceeds all the expectations of its intended audience so well”
Tuan Yu, Lecturer, Kent Business School, Canterbury, UK
“This is a fantastic book for anyone wanting to understand, learn and apply quantitative methods in finance using R”
Professor Raphael Markellos, Professor of Finance, Norwich Business School, UK
Quantitative Methods in Finance Using R draws on the extensive teaching and research expertise of John Fry and Matt Burke, covering a wide range of quantitative methods in Finance that utilise the freely downloadable R software. With software playing an increasingly important role in finance, this book is a must-have introduction for finance students who want to explore how they can undertake their own quantitative analyses in dissertation and project work.
Assuming no prior knowledge, and taking a holistic approach, this brand new title guides you from first principles and help to build your confidence in tackling large data sets in R.
Complete with examples and exercises with worked solutions, Fry and Burke demonstrate how to use the R freeware for regression and linear modelling, with attention given to presentation and the importance of good writing and presentation skills in project work and data analysis more generally.
Through this book, you will develop your understanding of:
•Descriptive statistics
•Inferential statistics
•Regression
•Analysis of variance
•Probability regression models
•Mixed models
•Financial and non-financial time series
John Fry is a senior lecturer in Applied Mathematics at the University of Hull. Fry has a PhD in Mathematical Finance from the University of Sheffield. His main research interests span mathematical finance, econophysics, statistics and operations research.
Matt Burke is a senior lecturer in Finance at Sheffield Hallam University. He holds a PhD in Finance from the University of East Anglia. Burke’s main research interests lie in asset pricing and climate finance.
289 kr
Läs direkt efter köp
363 kr
Skickas inom 3-6 vardagar