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Author | : Bowerman |
Publisher | : McGraw Hill |
Total Pages | : 912 |
Release | : 2016-04-16 |
Genre | : Business & Economics |
ISBN | : 0077185013 |
Ebook: Business Statistics in Practice: Using Data, Modeling and Analytics
Author | : Bruce L. Bowerman, Professor |
Publisher | : McGraw-Hill Education |
Total Pages | : 0 |
Release | : 2016-01-26 |
Genre | : Business & Economics |
ISBN | : 9781259549465 |
Business Statistics in Practice, Eighth Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Eighth Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
Author | : Bruce Bowerman |
Publisher | : McGraw-Hill |
Total Pages | : 918 |
Release | : 2016-07-19 |
Genre | : |
ISBN | : 9781260016499 |
Author | : Alexander Holmes |
Publisher | : |
Total Pages | : 1801 |
Release | : 2023-12-13 |
Genre | : Business & Economics |
ISBN | : |
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author | : Gábor Békés |
Publisher | : Cambridge University Press |
Total Pages | : 741 |
Release | : 2021-05-06 |
Genre | : Business & Economics |
ISBN | : 1108483011 |
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author | : Ron S. Kenett |
Publisher | : John Wiley & Sons |
Total Pages | : 339 |
Release | : 2011-06-20 |
Genre | : Business & Economics |
ISBN | : 1119956722 |
Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.
Author | : BOWERMAN |
Publisher | : |
Total Pages | : 930 |
Release | : 2018-10 |
Genre | : Business & Economics |
ISBN | : 9781260287844 |
Business Statistics and Analytics in Practice 9e covers standard business statistics and business analytics topics, with a continuous case running throughout chapters, allowing students to use data for a more applied and practical approach to the subject. Topics are clearly organised, giving instructors the choice of whether or not to cover business analytics areas. Featuring Connect, SmartBook, Guided Examples, Algorithmic Problems and a business statistics, maths and Excel prep component, Bowerman is a perfect fit for the instructor who wants a business stats text with business analytics focus.
Author | : J. Holton Wilson |
Publisher | : McGraw Hill |
Total Pages | : 527 |
Release | : 2014-10-16 |
Genre | : Business & Economics |
ISBN | : 0077172027 |
The Sixth Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software—Forecast X. This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Wilson and Keating deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum. This Sixth Edition includes Forecast X software updated for Excel 2007 and Vista. Forecast X is the most comprehensive software tool available in this market and the new version is also backwards compatible for XP Excel 2003 systems. This Excel-based tool effectively uses wizards and many tools to make forecasting easy and understandable.
Author | : Bruce L. Bowerman |
Publisher | : |
Total Pages | : 0 |
Release | : 2016-03 |
Genre | : Business & Economics |
ISBN | : 9781259253324 |
This edition of 'Business Statistics in Practice' provides a modern, practical and unique framework for teaching the first course in business statistics.
Author | : Kung-Jong Lui |
Publisher | : John Wiley & Sons |
Total Pages | : 248 |
Release | : 2016-08-08 |
Genre | : Medical |
ISBN | : 1119114691 |
A comprehensive and practical resource for analyses of crossover designs For ethical reasons, it is vital to keep the number of patients in a clinical trial as low as possible. As evidenced by extensive research publications, crossover design can be a useful and powerful tool to reduce the number of patients needed for a parallel group design in studying treatments for non-curable chronic diseases. This book introduces commonly-used and well-established statistical tests and estimators in epidemiology that can easily be applied to hypothesis testing and estimation of the relative treatment effect for various types of data scale in crossover designs. Models with distribution-free random effects are assumed and hence most approaches considered here are semi-parametric. The book provides clinicians and biostatisticians with the exact test procedures and exact interval estimators, which are applicable even when the number of patients in a crossover trial is small. Systematic discussion on sample size determination is also included, which will be a valuable resource for researchers involved in crossover trial design. Key features: Provides exact test procedures and interval estimators, which are especially of use in small-sample cases. Presents most test procedures and interval estimators in closed-forms, enabling readers to calculate them by use of a pocket calculator or commonly-used statistical packages. Each chapter is self-contained, allowing the book to be used a reference resource. Uses real-life examples to illustrate the practical use of test procedures and estimators Provides extensive exercises to help readers appreciate the underlying theory, learn other relevant test procedures and understand how to calculate the required sample size. Crossover Designs: Testing, Estimation and Sample Size will be a useful resource for researchers from biostatistics, as well as pharmaceutical and clinical sciences. It can also be used as a textbook or reference for graduate students studying clinical experiments.