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Do Something Else is meant to encourage faith communities and their leaders to reconsider "church as usual," reengage Spirit-led entrepreneurialism, and reimagine new models of ministry bubbling up in their midst. Many churches and leaders are already setting the pace. They are establishing new gatherings in old buildings and using new building to do old things. They are emphasizing diversity, welcome, and friendship. If these stories are hidden from view, they shouldn't be. These pages will uncover how new expressions get started, how they are led, how they struggle, and how they are sustained. Do Something Else will encourage candidates for ministry who see limited options, ministers who wonder about staying in ministry, clergy call-seekers trying to find hope in a desolate career landscape, and churches attempting to manage staffs with limited resources. It will also offer permission to small churches resigned to be "without a pastor," larger churches looking to do a new thing in an unorthodox way, and middle governing bodies who need promising examples of working models in order to take the risk on new opportunities.
This book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes that lead to human behavior. Drawing on economics, psychology and artificial intelligence, the book provides an innovative perspective on behavioral operations. It shows how to build optimization as well as heuristic models for describing human behavior and how to compare such models on various dimensions such as predictive power and transparency, as well as discussing interventions for improving human behavior. This book will be particularly valuable to academics and practitioners who seek to select a modeling approach that suits the operational decision at hand.
This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, o...
Originally published in 1931, Old Families of Louisiana was compiled in response to a demand for a comprehensive series of genealogical records of the foundation families of the state--families whose ancestors settled with Bienville in New Orleans at the time the famous old city was laid out in the crescent bend of the Mississippi River. This book also answers the call for information on those who came to Louisiana when the golden lilies of France, the castellated banner of Spain, the Union Jack of Great Britain, or the flag of fifteen stars and fifteen stripes waved over the land.During the compilation of the original data it became apparent that the present book would be greatly augmented ...