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  • Book


  • Authors: Brian S. Yandell (1997)

  • Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory.

  • Book


  • Authors: Dimitri Bertsekas (1992)

  • This volume is designed to help professionals develop a deeper understanding of data networks and evolving integrated networks, and to explore today's various analysis and design tools.

  • Book


  • Authors: Kumar Rai, Shiba (1996)

  • Medical Parasitology is primarily intended to be an illustrated textbook which provides a review ofthe most important species ofparasite which occur in man; their areas ofdistribution, morphology and development, the typical disease symptoms resulting from infection, epidemiology and also methods of detection and indications for therapy. The main emphasis is on the protozoan and helmin­ thic diseases; medical entomology has only been covered in connection with the epidemiology of the diseases described here.

  • Book


  • Authors: Janice M. Morse (1996)

  • This practical "how to" book should be useful reading for all student and practising nurses undertaking health research. This book should also be of interest to students of nursing, health managers and professionals involved in health research.

  • Book


  • Authors: Hugh McKenna (1997)

  • Nursing theory is a major part of all nursing courses and nurses are encouraged to use theories in practice, but it is not always easy for the student to make a real connection between the two. Drawing on many years' experience of teaching and research, Hugh McKenna addresses the theory needs of both students and qualified staff.

  • Sách/Book


  • Authors: Carl P. Simon (1994)

  • An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today's classroom.

  • Sách/Book


  • Authors: Christopher D. Manning (1999)

  • Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.