Quantitative Methods for Management

Quantitative Methods for Management
Author: William E. Pinney
Publisher:
Total Pages: 0
Release: 2004-02
Genre: Business & Economics
ISBN: 9780759338128

Due to the lack of mathematical sophistication of business students, the management science is difficult for both students and professors. Quantitative Methods for Management, 3e attempts to reduce these difficulties by providing a student-oriented approach to the material, with more emphasis on application (how it works) and problem recognition (when it works) and less on derivation (why it works).

Quantitative Techniques, 3rd Edition

Quantitative Techniques, 3rd Edition
Author: Kothari C.R.
Publisher: Vikas Publishing House
Total Pages:
Release:
Genre: Business & Economics
ISBN: 9325968967

This is a reformatted version of Prof C R Kothari's all-time great book Quantitative Techniques (Third Revised Edition). Students and teachers will find the readability in the new version much enhanced and thus comprehension greatly improved. All the diagrams have been freshly drawnfor clarity.The book does not need much introduction as it has been known for years for its simplicity of approach which explains the tedious concepts of quantitative techniques in a most readerfriendly manner through practical examples. The style is so lucid that even a reader having no formal training of mathematics and statistics will not find it difficult to understand and to apply these techniques.The book is meant for MCom, CA, ICWA and degree diploma students of business administration.

Essential Quantitative Methods

Essential Quantitative Methods
Author: Les Oakshott
Publisher: Red Globe Press
Total Pages: 0
Release: 2016-01-20
Genre: Business & Economics
ISBN: 9781137518552

This concise and accessible textbook covers all of the key quantitative methods needed to solve everyday business problems. Les Oakshott’s clear and friendly writing style guides students from basic statistics, through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book’s coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful. An ideal textbook for undergraduate students of business, management and finance, it is also widely used by MBA students and postgraduates.

Research Design

Research Design
Author: John W. Creswell
Publisher: SAGE
Total Pages: 305
Release: 2014
Genre: Reference
ISBN: 1452226105

The bestseller that pioneered the comparison of qualitative, quantitative, and mixed methods research design continues in its Fourth Edition to help students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis.

Research Design Qualitative and Quantitative Approaches

Research Design Qualitative and Quantitative Approaches
Author: John W. Creswell
Publisher:
Total Pages: 260
Release: 2000
Genre: Social sciences
ISBN: 9788132107484

Publisher's Description: The Third Edition of the bestselling text Research Design by John W. Creswell enables readers to compare three approaches to research-qualitative, quantitative, and mixed methods-in a single research methods text. The book presents these three approaches side by side within the context of the process of research from the beginning steps of philosophical assumptions to the writing and presenting of research. Written in a user-friendly manner, Creswell's text does not rely on technical jargon. He cuts to the core of what a reader needs to know to read and design research in part by showcasing ideas in a scaffold approach so that the reader understands ideas from the simple to the complex. Key updates to the Third Edition: Presents the preliminary steps of using philosophical assumptions in the beginning of the book; Provides an expanded discussion on ethical issues; Emphasizes new Web-based technologies for literature searches; Offers updated information about mixed methods research procedures; Contains a glossary of terms; Highlights "research tips" throughout the chapters incorporating the author's experiences over the last 35 years.

Quantitative Methods for Management

Quantitative Methods for Management
Author: Miguel Ángel Canela
Publisher: Springer
Total Pages: 142
Release: 2019-07-03
Genre: Business & Economics
ISBN: 3030175545

This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.

Statistical Methods

Statistical Methods
Author: Rudolf J. Freund
Publisher: Elsevier
Total Pages: 694
Release: 2003-01-07
Genre: Mathematics
ISBN: 0080498221

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters