5 Basic Elements


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Wellbeing: The Five Essential Elements


Wellbeing: The Five Essential Elements

Author: Tom Rath

language: en

Publisher: Simon and Schuster

Release Date: 2010-05-04


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Shows the interconnections among the elements of well-being, how they cannot be considered independently, and provides readers with a research-based approach to improving all aspects of their lives.

Holistic Spaces


Holistic Spaces

Author: Anjie Cho

language: en

Publisher: Ryland Peters & Small

Release Date: 2018-12-06


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Transform your home into a calm, balanced and harmonious oasis using architect Anjie Cho's helpful advice, drawing on her background in green design and feng shui. You don't have to get rid of all your possessions and become an ascetic to change your space and discover the benefits that living in a considered, organic way can bring. The easy suggestions in Holistic Spaces show you how to implement the principles of feng shui and green design in your home. Written for the way we live today, as we move toward a more mindful approach to health, diet and the way that we choose the objects in our homes, this is the perfect guide to help you to clear and refresh your living environment. Learn how to make every room in your home serve its highest purpose, create eco-friendly spaces, bring nature indoors, choose colours for maximum impact, select a space for meditation practice, and overall, create a peaceful and organic home. From the bedroom to the home office, these intuitive, straightforward tips will teach you to how improve your spaces to boost the flow of energy through your life.

Basic Elements of Computational Statistics


Basic Elements of Computational Statistics

Author: Wolfgang Karl Härdle

language: en

Publisher: Springer

Release Date: 2017-09-29


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This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs. The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various ma thematical roots of multivariate techniques. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.