Найти книгу: "Ice & Mixed Climbing"

* Will Gadd is an ESPN X Games and Ice World Cup winner * Color photos throughout illustrate the climbing techniques * Part of The Mountaineers Outdoor Expert series «Mixed climbing is my favorite discipline. It's the most fun because it has the fewest rules – sort of like professional wrestling compared to boxing.» So says Will Gadd, as profiled in the book Fifty Favorite Climbs. Here the champion ice climber presents the same techniques and veteran wisdom he imparts to those who attend his annual clinics. These include step-by-step instructions for the swing (ice axe), the kick (footwork), and putting it all together (tracking); how to «read» ice to select your line and follow it safely; and drytool techniques for mixed climbing. Training exercises and inspirational stories complete this seminal guide. Will Gadd won every major ice competition in the world in 1998 and 1999, as well as the 2000 Ice World Cup. A resident of Canmore, Alberta, he has written for Climbing and Rock & Ice, among other publications.

Climbing – Philosophy for Everyone presents a collection of intellectually stimulating new essays that address the philosophical issues relating to risk, ethics, and other aspects of climbing that are of interest to everyone from novice climbers to seasoned mountaineers. Represents the first collection of essays to exclusively address the many philosophical aspects of climbing Includes essays that challenge commonly accepted views of climbing and climbing ethics Written accessibly, this book will appeal to everyone from novice climbers to seasoned mountaineers Includes a foreword written by Hans Florine Shortlisted for the Boardman Tasker Prize for Mountain Literature, 2010

Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R. Meta-analysis and the multiple testing problem. The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: “One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models…Each chapter is well-motivated by at least one carefully chosen example…demonstrating the broad applicability of mixed models in many different disciplines…most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.”—Kerrie Nelson University of South Carolina, in American Statistician, 2007

A unified, systematic approach to applying mixed integer programming solutions to integrated scheduling in customer-driven supply chains Supply chain management is a rapidly developing field, and the recent improvements in modeling, preprocessing, solution algorithms, and mixed integer programming (MIP) software have made it possible to solve large-scale MIP models of scheduling problems, especially integrated scheduling in supply chains. Featuring a unified and systematic presentation, Scheduling in Supply Chains Using Mixed Integer Programming provides state-of-the-art MIP modeling and solutions approaches, equipping readers with the knowledge and tools to model and solve real-world supply chain scheduling problems in make-to-order manufacturing. Drawing upon the author's own research, the book explores MIP approaches and examples-which are modeled on actual supply chain scheduling problems in high-tech industries-in three comprehensive sections: Short-Term Scheduling in Supply Chains presents various MIP models and provides heuristic algorithms for scheduling flexible flow shops and surface mount technology lines, balancing and scheduling of Flexible Assembly Lines, and loading and scheduling of Flexible Assembly Systems Medium-Term Scheduling in Supply Chains outlines MIP models and MIP-based heuristic algorithms for supplier selection and order allocation, customer order acceptance and due date setting, material supply scheduling, and medium-term scheduling and rescheduling of customer orders in a make-to-order discrete manufacturing environment Coordinated Scheduling in Supply Chains explores coordinated scheduling of manufacturing and supply of parts as well as the assembly of products in supply chains with a single producer and single or multiple suppliers; MIP models for a single- or multiple-objective decision making are also provided Two main decision-making approaches are discussed and compared throughout. The integrated (simultaneous) approach, in which all required decisions are made simultaneously using complex, monolithic MIP models; and the hierarchical (sequential) approach, in which the required decisions are made successively using hierarchies of simpler and smaller-sized MIP models. Throughout the book, the author provides insight on the presented modeling tools using AMPL® modeling language and CPLEX solver. Scheduling in Supply Chains Using Mixed Integer Programming is a comprehensive resource for practitioners and researchers working in supply chain planning, scheduling, and management. The book is also appropriate for graduate- and PhD-level courses on supply chains for students majoring in management science, industrial engineering, operations research, applied mathematics, and computer science.

This volume offers institutional researchers several examples of the ways in which quantitative and qualitative methods can be integrated for a better grasp of how members of our educational communities understand and experience their environments on the basis of their multiple identities. The first two chapters provide context for the volume's theme with definitions and overview of the underpinnings of mixted methodology. Subsequent chapters illustrate the multiple ways in which qualitative and quantitative methods can be integrated to understand the complexity of identity and experiences of marginalized groups in the academy. Other chapters focus on students' experiences and demonstrate how mixed-methodology approaches were used to explore college access among first-generation Asian Americans and Pacific Islanders analyze racial ideology of white males with interview data driving analysis of longitudinal dataset and research and accessment generating accurate understanding how of race and gender shape students' experiences within the campus The final chapter presents findings of a mixed-methods inquiry to challenge current conceptions about racial categorization and practices for gathering institutional data on students' identity. Volume editors Kimberly A Griffin, assistant professor of education policy studies at the Pennsylvania State University, and Samuel D. Museus, assistant professor of educational administration at University of Hawai?i Manoa, and contributing authors advocate for intersectionality research and argue that it holds great promise for advancing knowledge in higher education. Their book is ideal for institutions and institutional researchers who want to understand and most effectively serve their students and faculty. This is the 151st volume of the Jossey-Bass quarterly report series New Directions for Institutional Research. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.