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Essential analytics for hospital managers : a guide to statistical problem solving / Murray V Calichman
Cham, Switzerland : Springer, 2019
72 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 362.11068
This book provides practical applications of statistical and mathematical concepts to resolve common issues in hospital management. Each chapter discusses a key component of hospital operations, such as maximizing hospital profitability through pricing optimization, forecasting facility requirements from historical data, and determining optimal patient schedules to fully utilize hospital resources in order to eliminate over-crowding in the emergency department. Structured by the degree of mathematical complexity, this professional book utilizes problem-solving methodologies ranging from basic statistical concepts (means and standard deviations) to more advanced statistics (Poisson distributions and queuing theory). Concluding with computer applications and simulations, the practical examples will help hospital managers to optimally and innovatively make use of linear programming. The book's main goal is to make hospital personnel more aware of the benefits of management science methodologies that are not usually employed in today's hospitals.
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Introductory biological statistics / John Edward Havel, Raymond E. Hampton, Scott J. Meiners
Long Grove, Illinois : Waveland Press, Inc., 2019
x, 252 pages. : illustrations ; 28 cm.
Ký hiệu phân loại (DDC): 570.1
A thorough understanding of biology, no matter which subfield, requires a thorough understanding of statistics. As in previous editions, Havel and Hampton (with new co-author Scott Meiners) ground students in all essential methods of descriptive and inferential statistics, using examples from different biological sciences. The authors have retained the readable, accessible writing style popular with both students and instructors. Pedagogical improvements new to this edition include concept checks in all chapters to assist students in active learning and code samples showing how to solve many of the book’s examples using R. Each chapter features numerous practice and homework exercises, with larger data sets available for download.
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