Published March 1977
by John Wiley & Sons Inc .
Written in English
|The Physical Object|
|Number of Pages||464|
Statistical methods are a key part of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives /5(). COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. Applied Numerical Methods for Digital Computation [James, M. L., Smith, G. M., Wolford, J. C.] on *FREE* shipping on qualifying offers. Applied Numerical Cited by: Vol. 3 also has special title: Statistical methods for digital computers Vol. 3: Edited by K. Enslein, A. Ralston, and H. S. Wilf Includes bibliographies.
Book Description This book provides an introduction to statistical computing and a critical, balanced presentation of the algorithms and computational methods used in software systems, discussing techniques for implementing algorithms in a computer. It is intended for graduate students in statistics. Textbooks > Computer Science > Database Storage & Design # inÂ Books > Computers & Technology > Databases & Big Data Biology and Health) Statistical Methods for Health Care Research Implementing Six Sigma, Second Edition: Smarter Solutions Using Statistical Methods A First Course in Bayesian Statistical Methods. This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. It covers contemporary research topics in both fields. Download Digital Logic and Computer Design By M. Morris Mano – The book presents the basic concepts used in the design and analysis of digital systems and introduces the principles of digital computer organization and design. It provides various methods and techniques suitable for a variety of digital system design applications and covers all aspects of digital systems from the electronic.
Statistical Techniques for Data Analysis - CRC Press Book Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Digital Computer Design: Logic, Circuitry, and Synthesis focuses on the logical structure, electronic realization, and application of digital information processors. The manuscript first offers information on numerical symbols, fundamentals of computing aids, quantization, representation of numbers in an electronic digital computer, and. Leveraging. Ma and Sun () proposed to use leveraging to facilitate scientific discoveries from big data using limited computing resources. In a leveraging method, one samples a small proportion of the data with certain weights (subsample) from the full sample, and then performs intended computations for the full sample using the small subsample as a surrogate. Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as information retrieval and animation, and classical topics Reviews: 8.