Applied mathematics for the analysis of biomedical data : (Registro nro. 923919)

Detalles MARC
000 -CABECERA
Longitud fija campo de control 03665nam a2200229ui 4500
001 - NÚMERO DE CONTROL
Número de control ZaR2017001463
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA
Códigos de información de longitud fija 170611s2017 us f 001 0 eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
Número Internacional Normalizado para Libros (ISBN) 9781119269496
040 ## - FUENTE DE LA CATALOGACIÓN
Centro catalogador UCA-ESI
Lengua de catalogación spa
100 1# - PUNTO DE ACCESO PRINCIPAL-NOMBRE DE PERSONA
Nombre de persona Costa, Peter J.
245 10 - MENCIÓN DE TÍTULO
Título Applied mathematics for the analysis of biomedical data :
Resto del título models, methods, and MATLAB /
Mención de responsabilidad, etc. Peter J. Costa
260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC. (PIE DE IMPRENTA)
Lugar de publicación, distribución, etc. Hoboken :
Nombre del editor, distribuidor, etc. John Wiley,
Fecha de publicación, distribución, etc. 2016
300 ## - DESCRIPCIÓN FÍSICA
Extensión XXXV, 409 p. ;
Dimensiones 24 cm.
500 ## - NOTA GENERAL
Nota general Índice
504 ## - NOTA DE BIBLIOGRAFÍA, ETC
Nota de bibliografía, etc. Bibliografía
520 ## - NOTA DE SUMARIO
Sumario, etc, Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real–life data Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data. The primary focus is on the application of mathematical models, and scientific computing methods for data to provide insight into the behavior of biological systems. The author draws upon his experience in academia industry, and government sponsored research as well as his expertise in MATLAB to produce a suite of computer programs with applications in epidemiology, machine learning, and biostatistics. These models are derived from real–world data and concerns. Among the topics included are the spread of infectious disease (HIV/AIDS) through a population, statistical pattern recognition methods to determine the presence of disease in a diagnostic sample, and the fundamentals of hypothesis testing. In addition, the author uses his professional experiences to present unique case studies whose analyses provide detailed insights into biological systems and the problems inherent in their examination. The book contains a well–developed and tested set of MATLAB functions that act as a general toolbox for practitioners of quantitative biology and biostatistics. This combination of MATLAB functions and practical tips ampli— es the book s technical merit and value to industry professionals. Through numerous examples and sample code blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the associated toolbox permits readers to engage in the process of data analysis without needing to delve deeply into the mathematical theory. This gives an accessible view of the material for readers with varied backgrounds. As a result, the book provides a streamlined framework for the development of mathematical models, algorithms, and the corresponding computer code. In addition, the book features: Real–world computational procedures that can be readily applied to similar problems without the need for keen mathematical acumen Clear delineation of topics to accelerate access to data analysis A Solutions Manual containing solutions to select exercises and a related website containing the MATLAB toolbox created for this book  Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® is an excellent textbook for students in mathematics, biostatistics, the life and social sciences, and quantitative, computational, and mathematical biology. This book is also an ideal reference for industrial scientists, biostatisticians, product development scientists, and practitioners who use mathematical models of biological systems in biomedical research, medical device development, and pharmaceutical submissions. P
650 04 - PUNTO DE ACCESO ADICIONAL DE MATERIA - TÉRMINO DE MATERIA
Término de materia o nombre geográfico como elemento inicial Biomatemáticas
9 (RLIN) 4220
650 04 - PUNTO DE ACCESO ADICIONAL DE MATERIA - TÉRMINO DE MATERIA
Término de materia o nombre geográfico como elemento inicial Bioinformática
9 (RLIN) 7300
650 04 - PUNTO DE ACCESO ADICIONAL DE MATERIA - TÉRMINO DE MATERIA
Término de materia o nombre geográfico como elemento inicial MATLAB
9 (RLIN) 16810
907 ## - CÓDIGO DE CATALOGADOR
Catalogador/a 84zar
942 ## - ENTRADA DE ELEMENTOS AGREGADOS (KOHA)
Fuente de clasificaión o esquema Clasificación Decimal Universal
Suprimir del OPAC No
Temas Koha (prestados), todas las copias 1
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      03. BIBLIOTECA INGENIERÍA PUERTO REAL 19/06/2017 Compra 1 11 577.1/.2/COS/app 3744377373 31/01/2025 22/06/2017 22/06/2017 PREST. LIBROS Monografías

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