John Wiley & Sons Limited
Все книги издательства John Wiley & Sons LimitedForest Ecology
Forest Ecology Forest Ecology An Evidence-Based Approach Forest ecology is the science that deals with everything in forests, including plants and animals (and their interactions), the features of the environment that affect plants and animals, and the interactions of humans and forests. All of these components of forests interact across scales of space and time. Some interactions are constrained, deterministic, and predictable; but most are indeterminant, contingent, and only broadly predictable. Forest Ecology: An Evidence-Based Approach examines the features common to all forests, and those unique cases that illustrate the importance of site-specific factors in determining the structure, function, and future of a forest. The author emphasizes the role of evidence in forest ecology, because appealing, simple stories often lead to misunderstandings about how forests work. A reliance on evidence is central to distinguishing between appealing stories and stories that actually fit real forests. The evidence-based approach emphasizes the importance of real-world, observable science in forests. Classical approaches to ecology in the twentieth century often over-emphasized appealing concepts that were not sufficiently based on real forests. The vast amount of information now available on forests allows a more complete coverage of forest ecology that relies on a strong, empirical foundation. Forest Ecology: An Evidence-Based Approach is the ideal companion text for the teaching of upper-level undergraduate and graduate courses in forest ecology.
Asset Allocation
Discover a masterful exploration of the fallacies and challenges of asset allocation In Asset Allocation: From Theory to Practice and Beyond —the newly and substantially revised Second Edition of A Practitioner’s Guide to Asset Allocation —accomplished finance professionals William Kinlaw, Mark P. Kritzman, and David Turkington deliver a robust and insightful exploration of the core tenets of asset allocation. Drawing on their experience working with hundreds of the world’s largest and most sophisticated investors, the authors review foundational concepts, debunk fallacies, and address cutting-edge themes like factor investing and scenario analysis. The new edition also includes references to related topics at the end of each chapter and a summary of key takeaways to help readers rapidly locate material of interest. The book also incorporates discussions of: The characteristics that define an asset class, including stability, investability, and similarity The fundamentals of asset allocation, including definitions of expected return, portfolio risk, and diversification Advanced topics like factor investing, asymmetric diversification, fat tails, long-term investing, and enhanced scenario analysis as well as tools to address challenges such as liquidity, rebalancing, constraints, and within-horizon risk. Perfect for client-facing practitioners as well as scholars who seek to understand practical techniques, Asset Allocation: From Theory to Practice and Beyond is a must-read resource from an author team of distinguished finance experts and a forward by Nobel prize winner Harry Markowitz.
Selling Your Startup
Learn how to sell your startup from an acquisition expert Many entrepreneurs dream of the day their company is acquired and they secure a perfect exit. But information about the process of getting your business acquired usually comes from expensive investment bankers who typically advise late-stage startups. In Selling Your Startup , serial entrepreneur Alejandro Cremades delivers an accessible guide on how to sell your startup. With first-hand experience as a fully exited entrepreneur, investment banker, and lawyer, Cremades describes the tips and tricks startup founders need to sell their early-stage to growth-stage business. In this book, you’ll discover: The role that investment bankers play in the acquisition process, how they add value, and how to break down their fees Preparing your company for sale, including compiling a pitch book, putting its finances in order, and building a target list of potential acquirers How to get to a Letter of Intent, perform due diligence, and reach a purchase agreement Perfect for entrepreneurs of all kinds, Selling Your Startup is a must-have roadmap to the practical realities of company acquisition and contains proven guidance on crafting your perfect exit.
Small Teaching
A freshly updated edition featuring research-based teaching techniques that faculty in any discipline can easily implement Research into how we learn can help facilitate better student learning—if we know how to apply it. Small Teaching fills the gap in higher education literature between the primary research in cognitive theory and the classroom environment. In this book, James Lang presents a strategy for improving student learning with a series of small but powerful changes that make a big difference―many of which can be put into practice in a single class period. These are simple interventions that can be integrated into pre-existing techniques, along with clear descriptions of how to do so. Inside, you’ll find brief classroom or online learning activities, one-time interventions, and small modifications in course design or student communication. These small tweaks will bring your classroom into alignment with the latest evidence in cognitive research. Each chapter introduces a basic concept in cognitive research that has implications for classroom teaching, explains the rationale for offering it within a specific time period in a typical class, and then provides concrete examples of how this intervention has been used or could be used by faculty in a variety of disciplines. The second edition features revised and updated content including a newly authored preface, new examples and techniques, updated research, and updated resources. How can you make small tweaks to your teaching to bring the latest cognitive science into the classroom? How can you help students become good at retrieving knowledge from memory? How does making predictions now help us learn in the future? How can you build community in the classroom? Higher education faculty and administrators, as well as K-12 teachers and teacher trainers, will love the easy-to-implement, evidence-based techniques in Small Teaching .
Statistical Quality Control
STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide alsoFocuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the fieldDiscusses aspects of Six Sigma MethodologyTeaches readers to use MINITAB, R, JMP and Python to create and analyze chartsRequires no previous knowledge of statistical theoryIs supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.
