<p><P>Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in
Making Sense of Data
β Scribed by Donald J. Wheeler
- Publisher
- SPC PRESS (Statistical Process Control)
- Year
- 2012
- Tongue
- English
- Leaves
- 416
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book addresses the issues of using Data Analysis Tools in a service or administrative setting. Written in the easy, reader-friendly style of Understanding Variation, but with the in-depth content of Understanding Statistical Process Control, the book handles new and comprehensive concepts with great clarity. It is organized around three basic questions of improvement: What do you want to accomplish? By what method? How will you know? With over 130 service sector examples and case histories, you will discover where to start, what to measure, how to measure it, and how to understand the measurement. More than teaching how to create process behavior charts, this book takes you beyond merely understanding data to a framework in which to use it effectively. It provides the practical expertise and useful guidance that you have come to expect from Donald J. Wheeler.
π SIMILAR VOLUMES
Part A Theory.- 1. Data Assimilation and Information.- 2. Mathematical Concepts of Data Assimilation.- 3. Variational Assimilation.- 4. Ensemble Kalman Filter: Status and Potential.- 5. Error Statistics in Data Assimilation: Estimation and Modelling.- 6. Bias Estimation.- 7. The Principle of Energe
Managers need to be able to make sense of data and to use it selectively to answer key questions: Why has quality fallen in the last week? Should we subcontract or employ more people? What will consumer demand be in the future? They need to be able to assess the value of data and to detect what is a
<p><P>Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in
<p>As individuals increasingly seek ways of accessing, understanding and sharing data about their own bodies, this book offers a critique of the popular claim that βmore informationβ equates to βbetter healthβ. In a study that redefines the public, academic and policy related debates around health,