Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.

Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.

Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).

A pioneer treatment of monetary economics written by two of world's leading authorities.

This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.

An exploration of the statistical foundations of scientific inference, The Nature of Scientific Evidence asks what constitutes scientific evidence and whether scientific evidence can be quantified statistically. Mark Taper, Subhash Lele, and an esteemed group of contributors explore the relationships among hypotheses, models, data, and inference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence. Informed by interdisciplinary discussions among scientists, philosophers, and statisticians, they propose a new "evidential" approach, which may be more in keeping with the scientific method. The Nature of Scientific Evidence persuasively argues that all scientists should care more about the fine points of statistical philosophy because therein lies the connection between theory and data. Though the book uses ecology as an exemplary science, the interdisciplinary evaluation of the use of statistics in empirical research will be of interest to any reader engaged in the quantification and evaluation of data.

In the light of changes the government has launched as part of its welfare to work initiatives, this text explores apprenticeship. The authors set the historical context and discuss the theoretical and practical aspects of acquiring the necessary knowledge and skills for competence.

Essays on Consciousness: Towards a New Paradigm is Ingrid Fredriksson ́s third book on consciousness and includzes famous coauthors from all over the world—Deepak Chopra ́s coauthor Menas C. Kafatos on The Mysteries of Consciousness, as well as Elizabeth A. Raucher, Russell Targ, and Dr. Amit Goswami, to name a few. Olle Johansson, PhD (Sweden), writes in this book about understanding adverse health effects of artificial electromagnetic fields. Is rocket science needed or just common sense? This is a very important question these days. Eve Isham will talk on “Save Free Will from Science,” and Rupert Sheldrake, PhD (England), will talk on “The Extended Mind.” “Millennial Science,” “The Imminent Age of Discovery’s Conscious Technologies” is Richard L. Amoro ́s. These are interesting chapters in this book. Carl Johan Calleman, PhD (Mexico), writes about “The Origin and History of the Human Mind,” and Attila Grandpierre, PhD (Hungary), writes “All Is One: The One, the Universe, and Consciousness.” Gerard J. F. Blommestijn, PhD (Netherlands), has “A Theory on the Relation between Quantum Mechanical Reduction Process and Consciousness.” “Direct Experience: The Open Door to Realize Limitless Consciousness” is Klaus Stüben’s, PhD (Germany), interesting chapter. Anita Westlund has “Finding of a Big Chakra Involving the Cheops Pyramid of Giza.” It is built on the Fibonacci series of holy numbers. It is a circle quadrature in the very soil matter of the globe. “Music and Consciousness” is Alexander Graur ́s fabulous chapter, and “Can Consciousness Influence Our Epigenetics and Can Epigenetic Influence Our Consciousness” is Ingrid Fredriksson ́s part on our day’s new paradigm. The book is fascinating, highly educational, and informative—a must-have!