• Starts from the basics, focusing less on proofs and the high-level math underlying regressions, and adopts an engaging tone to provide a text which is entirely accessible to students who don’t have a stats background • New chapter on integrity and ethics in regression analysis • Each chapter offers boxed examples, stories, exercises and clear summaries, all of which are designed to support student learning • Optional appendix of statistical tools, providing a primer to readers who need it • Code in R and Stata, and data sets and exercises in Stata and CSV, to allow students to practice running their own regressions • Author-created videos on YouTube • PPT lecture slides and test bank for instructors
With the rise of "big data," there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read! A collection of author-created supplementary videos are available at: https://www.youtube.com/channel/UCenm3BWqQyXA2JRKB_QXGyw
“A must-own title.” —National Review Online American Conservatism: An Encyclopedia is the first comprehensive reference volume to cover what is surely the most influential political and intellectual movement of the past half century. More than fifteen years in the making—and more than half a million words in length—this informative and entertaining encyclopedia contains substantive entries on those persons, events, organizations, and concepts of major importance to postwar American conservatism. Its contributors include iconic patriarchs of the conservative and libertarian movements, celebrated scholars, well-known authors, and influential movement activists and leaders. Ranging from “abortion” to “Zoll, Donald Atwell,” and written from viewpoints as various as those which have informed the postwar conservative movement itself, the encyclopedia’s more than 600 entries will orient readers of all kinds to the people and ideas that have given shape to contemporary American conservatism. This long-awaited volume is not to be missed.
The U.S. Constitution is clear on the appointment of executive officials: the president nominates, the Senate approves. But on the question of removing those officials, the Constitution is silent—although that silence has not discouraged strenuous efforts to challenge, censure, and even impeach presidents from Andrew Jackson to Bill Clinton. As J. David Alvis, Jeremy D. Bailey, and Flagg Taylor show, the removal power has always been and continues to be a thorny issue, especially as presidential power has expanded dramatically during the past century. Linking this provocative issue to American political and constitutional development, the authors recount removal power debate from the Founding to the present day. Understanding the historical context of outbreaks in the debate, they contend, is essential to sorting out the theoretical claims from partisan maneuvering and sectional interests, enabling readers to better understand the actual constitutional questions involved. After a detailed review of the Decision of 1789, the book examines the initial assertions of executive power theory, particularly by Thomas Jefferson and Andrew Jackson, then the rise of the argument for congressional delegation, beginning with the Whigs and ending with the impeachment of Andrew Johnson. The authors chronicle the return of executive power theory in the efforts of Presidents Grant, Hayes, Garfield, and Cleveland, who all battled with Congress over removals, then describe the emergence of new institutional arrangements with the creation of independent regulatory commissions. They conclude by tracking the rise of the unitarians and the challenges that this school has posed to the modern administrative state. Although many scholars consider the matter to have been settled in 1789, the authors argue that a Supreme Court case as recent as 2010—Free Enterprise Fund v. Public Company Accounting Oversight Board—shows the extent to which questions surrounding removal power remain unresolved and demand more attention. Their work offers a more nuanced and balanced account of the debate, teasing out the logic of the different institutional perspectives on this important constitutional question as no previous book has.
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples. This is achieved by: Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research. Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities. Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs. Using examples from many disciplines, including statistics, psychology, engineering and health sciences. Including an extensive glossary of statistical and psychological terms. An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.
Heavily updated and revised from the successful first edition Appeals to a wide range of informatics professionals, from students to on-site medical information system administrators Includes case studies and real world system evaluations References and self-tests for feedback and motivation after each chapter Great for teaching purposes, the book is recommended for courses offered at universities such as Columbia University Precise definition and use of terms
The U.S. Air Force (USAF) needs accurate models to develop retention policies that ensure the force has a sufficient number of experienced officers to meet current and future requirements. The dynamic retention model (DRM) can be used to take into account the effect of the availability of multi-year contracts to certain classes of Air Force officers. Unlike the annualized cost of leaving (ACOL) model long used by researchers working on USAF personnel issues, the DRM takes into account the value an officer may place on future career flexibility in the face of uncertainty, and thus is particularly well suited to examining the effect of bonus programs that have service commitments, such as the Aviator Continuation Pay (ACP) program, which pays an annual bonus to pilots and certain groups of navigators and air battle managers who commit to extend their service for specified numbers of years or to a specified length of service.
As reserve forces have become more important to military operations, reserve recruiting has faced many of the same challenges that have confronted recruiting for the active forces. These include more attractive civilian opportunities and a declining propensity among youth to join the ranks of military service. An additional challenge for the reserves is the shrinking active duty force, from which the reserves draw two-thirds of their members. Despite the growing importance of the reserves, research on reserve recruiting has received much less attention than active duty recruiting. For about two decades, researchers estimated models of active duty recruiting, variously referred to as "enlistment supply models" or "aggregate recruiting models." These models typically examine how labor market factors, demographic factors, and recruiting policies influence enlistment in the active duty. Given the growing importance of reserve recruiting, the Office of the Secretary of Defense asked RAND to assess the feasibility of this type of estimating model for reserve recruiting. In the first portion of this effort, we reviewed trends in reserve recruiting and the civilian factors that influence recruiting, and we recommended updates to the active duty models of enlistment supply based on the reserve recruiting process and these trends. These results are currently unpublished RAND research by M. Rebecca Kilburn, Sheila Nataraj Kirby, C. Christine Fair, and Scott Nafrel. In this monograph, we describe available data and the strategies we used to create models to estimate reserve recruiting, report the results from the models, and discuss the policy implications of the estimates.
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