Loss Models

Loss Models
Author: Stuart A. Klugman
Publisher: John Wiley & Sons
Total Pages: 758
Release: 2012-01-25
Genre: Business & Economics
ISBN: 0470391332

An update of one of the most trusted books on constructing and analyzing actuarial models Written by three renowned authorities in the actuarial field, Loss Models, Third Edition upholds the reputation for excellence that has made this book required reading for the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) qualification examinations. This update serves as a complete presentation of statistical methods for measuring risk and building models to measure loss in real-world events. This book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. Features of the Third Edition include: Extended discussion of risk management and risk measures, including Tail-Value-at-Risk (TVaR) New sections on extreme value distributions and their estimation Inclusion of homogeneous, nonhomogeneous, and mixed Poisson processes Expanded coverage of copula models and their estimation Additional treatment of methods for constructing confidence regions when there is more than one parameter The book continues to distinguish itself by providing over 400 exercises that have appeared on previous SOA and CAS examinations. Intriguing examples from the fields of insurance and business are discussed throughout, and all data sets are available on the book's FTP site, along with programs that assist with conducting loss model analysis. Loss Models, Third Edition is an essential resource for students and aspiring actuaries who are preparing to take the SOA and CAS preliminary examinations. It is also a must-have reference for professional actuaries, graduate students in the actuarial field, and anyone who works with loss and risk models in their everyday work. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep.

Better Data, Better Decisions

Better Data, Better Decisions
Author: Nate Moore
Publisher: Medical Group Management Association/Center for Research in Ambulatory Health Care Administration
Total Pages: 154
Release: 2013
Genre: Medical
ISBN: 9781568294322

Data flows into medical practices daily from practice management systems, electronic medical record (EMR) systems, accounting systems and many other sources. Too many practices extract only the bare minimum of data to file claims and meet reporting obligations, without recognizing the value in the flood of data that passes through the practice.

Data, Models, and Decisions

Data, Models, and Decisions
Author: Dimitris Bertsimas
Publisher: Ingram
Total Pages: 530
Release: 2004
Genre: Business & Economics
ISBN: 9780975914601

Combines topics from two traditionally distinct quantitative subjects, probability/statistics and management science/optimization, in a unified treatment of quantitative methods and models for management. Stresses those fundamental concepts that are most important for the practical analysis of management decisions: modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision-making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally.

Marketing Analytics

Marketing Analytics
Author: Rajkumar Venkatesan
Publisher: University of Virginia Press
Total Pages: 278
Release: 2021-01-13
Genre: Business & Economics
ISBN: 081394516X

The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making. The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one’s product or designing effective digital marketing campaigns. Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts.

Using Data in Schools to Inform Leadership and Decision Making

Using Data in Schools to Inform Leadership and Decision Making
Author: Alex J. Bowers
Publisher: IAP
Total Pages: 281
Release: 2014-11-01
Genre: Education
ISBN: 1623967880

Our fifth book in the International Research on School Leadership series focuses on the use of data in schools and districts as useful information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and attendance as just a short list of student information sources, while additional streams of data feed into schools and districts from teachers and parents as well as local, regional and national policy levels. To deal with the data, schools have implemented a variety of data practices, from data rooms, to data days, data walks, and data protocols. However, despite the flood of data, successful school leaders are leveraging an analysis of their school’s data as a means to bring about continuous improvement in an effort to improve instruction for all students. Nevertheless, some drown, some swim, while others find success. Our goal in this book volume is to bring together a set of chapters by authors who examine successful data use as it relates to leadership and school improvement. In particular, the chapters in this volume consider important issues in this domain, including: • How educational leaders use data to inform their practice. • What types of data and data analysis are most useful to successful school leaders. • To what extent are data driven and data informed practices helping school leaders positively change instructional practice? • In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking? • How have school leadership practices changed as more data and data analysis techniques have become available? • What are the major obstacles facing school leaders when using data for decision making and how do they overcome them?

Data for Decisions

Data for Decisions
Author: National Research Council (U.S.). Committee for the Study of Strategic Transportation Data Needs
Publisher: Transportation Research Board
Total Pages: 180
Release: 1992
Genre: Political Science
ISBN: 9780309051569

TRB Special Report 234 - Data for Decisions: Requirements for National Transportation Policy Making examines data requirements necessary to support strategic transportation policy making and the institutional changes necessary to make those data available on a permanent basis. The report calls for the establishment of a statistical agency within USDOT (this recommendation became helped create the Bureau of Transportation Statistics), the development of performance indicators, and regular reporting to the Secretary and Congress on important trends in system performance.

How to Make Decisions with Different Kinds of Student Assessment Data

How to Make Decisions with Different Kinds of Student Assessment Data
Author: Susan M. Brookhart
Publisher: ASCD
Total Pages: 146
Release: 2015-12-07
Genre: Education
ISBN: 1416621032

In How to Make Decisions with Different Kinds of Student Assessment Data, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn— * What different kinds of data can—and cannot—tell us about student learning; * What different analyses reveal about changes in student achievement; * How to interpret, use, and share relevant data; and * How to create a model to go from problem to solution in a data-based decision-making process. With easy-to-understand explanations, supplemented by examples and scenarios from actual schools, this book offers a path to better understanding, more accurate interpretation of assessment results, and—most important—more effective use of data to improve teaching and learning.

Data Science for Business and Decision Making

Data Science for Business and Decision Making
Author: Luiz Paulo Fávero
Publisher: Academic Press
Total Pages: 1240
Release: 2019-04-11
Genre: Business & Economics
ISBN: 0128112174

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Business Intelligence

Business Intelligence
Author: Jerzy Surma
Publisher: Business Expert Press
Total Pages: 161
Release: 2011-03-06
Genre: Business & Economics
ISBN: 1606491865

This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.

The Big Picture: How to Use Data Visualization to Make Better Decisions—Faster

The Big Picture: How to Use Data Visualization to Make Better Decisions—Faster
Author: Steve Wexler
Publisher: McGraw Hill Professional
Total Pages: 208
Release: 2021-05-18
Genre: Business & Economics
ISBN: 1260473538

Not a data expert? Here’s an engaging and entertaining guide to interpreting and drawing insights from any chart, graph, or other data visualization you’ll encounter. You’re a business professional, not a data scientist. How do you make heads or tails of the data visualizations that come across your desk—let alone make critical business decisions based on the information they’re designed to convey? In The Big Picture, top data visualization consultant Steve Wexler provides the tools for developing the graphical literacy you need to understand the data visualizations that are flooding your inbox—and put that data to use. Packed with the best four-color examples created in Excel, Tableau, Power BI, and Qlik, among others, this one-stop resource empowers you to extract the most important information from data visualizations quickly and accurately, act on key insights, solve problems, and make the right decisions for your organization every time.