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A Handbook of Data Envelopment Analysis using Stata
ISK 11250
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This book will guide you through the efficiency analysis in STATA using the author-written DEA program.
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Upplýsingar um vöru
| Publisher | Independently published |
| Publication date | December 27, 2022 |
| Language | English |
| Print length | 181 pages |
| ISBN-13 | 979-8872513247 |
| Item Weight | 10.4 ounces (294.84 grams) |
| Dimensions | 5.74 x 0.62 x 8.74 inches (14.6 x 1.6 x 22.2 cm) |
Who Should Buy?
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Data Analysts
Ideal for professionals analyzing efficiency data using Stata, enhancing their analytical skills in Data Envelopment Analysis.
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Academics & Researchers
Beneficial for those studying efficiency measurement and conducting research that necessitates advanced statistical and econometric methods.
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Graduate Students
Great for students focusing on quantitative methods in economics or management, offering practical insights into data analysis techniques.
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Casual Users
Not suitable for beginners unfamiliar with data analysis concepts or those seeking simple statistical solutions without advanced techniques.
VÖRULÝSING
A Handbook of Data Envelopment Analysis using Stata
Spurningar og svör viðskiptavina
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spurningu:
What is the main focus of this handbook?
svara: The handbook focuses on Data Envelopment Analysis (DEA) and productivity analysis using Stata. -
spurningu:
Is this handbook suitable for beginners?
svara: Yes, it provides a basic introduction to DEA and guides readers through the analysis process. -
spurningu:
Does it include practical examples?
svara: Yes, the handbook includes various models and practical applications of DEA in Stata.
Management Science Editorial Review
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ISK 11250
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Eiginleikar og kostir
- Designed for learning DEA and productivity analysis with Stata.
- First-ever guide for efficiency analysis using Stata, introduced in 2009.
- Includes various models and programs shared on Sourceforge.
- Utilizes STATA Version 16's optimization program for DEA analysis.
- Features a basic introduction to Stata's built-in optimization program.
- Offers methodology selection considerations for effective efficiency analysis.
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