Grob's Basic Electronics ISE
Author: Mitchel Schultz
Publisher:
Published: 2024-04-02
Total Pages: 0
ISBN-13: 9781266834981
DOWNLOAD EBOOKRead and Download eBook Full
Author: Mitchel Schultz
Publisher:
Published: 2024-04-02
Total Pages: 0
ISBN-13: 9781266834981
DOWNLOAD EBOOKAuthor: McGraw-Hill
Publisher: McGraw-Hill Science, Engineering & Mathematics
Published: 2002-11-01
Total Pages:
ISBN-13: 9780078306280
DOWNLOAD EBOOKThe experiments manual is a lab manual for the beginning electronics student who does not have any previous experience in electricity or electronics. The experiments are coordinated with the text chapter-by-chapter. In total, there are over 70 experiments, starting with basic safety, lab equipment, and identification of electronic components. All basic aspects of circuit theory are covered. The enclosed CD-ROM contains the MultiSIM textbook edition program and 40 simulation activities. These activities provide students with extra experience using the prelabs, and with additional exercises including critical thinking and troubleshooting practice related to select hands-on experiments.
Author: Sharon Ferrett
Publisher: McGraw-Hill Science, Engineering & Mathematics
Published: 1997-03-05
Total Pages: 0
ISBN-13: 9780028022550
DOWNLOAD EBOOKAuthor: Frank Pugh
Publisher:
Published: 2007
Total Pages: 516
ISBN-13: 9780072988215
DOWNLOAD EBOOKAuthor: WES. PONICK
Publisher: McGraw-Hill Higher Education
Published: 2024
Total Pages: 547
ISBN-13: 126672821X
DOWNLOAD EBOOKAuthor: Wes Ponick
Publisher: McGraw-Hill Education
Published: 2020-01-27
Total Pages: 552
ISBN-13: 9781260445305
DOWNLOAD EBOOKThis lab book, written by Wes Ponick, provides students and instructors with easy- to-follow laboratory experiments. The experiments range from an introduction to laboratory equipment to experiments dealing with operational amplifiers. All experiments have been student tested to ensure their effectiveness. The lab book is organized to correlate with the topics covered in the text, by chapter. All experiments have a Multisim activity that is to be done prior to the actual physical lab activity. Multisim files are part of the Instructor’s Resources on Con- nect. This prepares students to work with circuit simulation software, and also to do “pre-lab” preparation before doing a physical lab exercise. Multisim coverage also reflects the widespread use of circuit simulation software in today’s electronics industries.
Author: Victor Leiva
Publisher: Academic Press
Published: 2015-10-26
Total Pages: 156
ISBN-13: 0128038276
DOWNLOAD EBOOKThe Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. - Introduces inference in the Birnbaum-Saunders distribution - Provides a comprehensive review of the statistical theory and methodology of the Birnbaum-Distribution - Discusses different applications of the Birnbaum-Saunders distribution - Explains characterization and the lifetime analysis
Author: Albert Malvino
Publisher: McGraw-Hill Science/Engineering/Math
Published: 2006-04-24
Total Pages: 344
ISBN-13: 9780073254821
DOWNLOAD EBOOKAuthor: Larry T. Ross
Publisher:
Published: 2021-08-30
Total Pages: 512
ISBN-13: 9781649259783
DOWNLOAD EBOOKIndustrial Robotics Fundamentals is an introduction to the principles of industrial robotics, related systems, and applications. The technical aspects of industrial robotics are covered in four units: Principles of Robotics; Power Supplies and Movement Systems; Sensing and End-of-Arm Tooling; and Control Systems and Maintenance. This 4th edition reflects new evolutions in the industrial robotics field, including coverage of Industry 4.0, the Industrial Internet of Things (IIoT), and Light Detection and Ranging (LiDAR). Special features address pioneers in the field, careers in the industry, and applications of technology, including robot lawnmowers and machine-to-machine communications.
Author: Steven P. Millard
Publisher: Springer Science & Business Media
Published: 2013-10-16
Total Pages: 305
ISBN-13: 1461484561
DOWNLOAD EBOOKThis book describes EnvStats, a new comprehensive R package for environmental statistics and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in 1997). EnvStats and R provide an open-source set of powerful functions for performing graphical and statistical analyses of environmental data, bringing major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. EnvStats also includes numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. This book shows how to use EnvStats and R to easily: * graphically display environmental data * plot probability distributions * estimate distribution parameters and construct confidence intervals on the original scale for commonly used distributions such as the lognormal and gamma, as well as do this nonparametrically * estimate and construct confidence intervals for distribution percentiles or do this nonparametrically (e.g., to compare to an environmental protection standard) * perform and plot the results of goodness-of-fit tests * compute optimal Box-Cox data transformations * compute prediction limits and simultaneous prediction limits (e.g., to assess compliance at multiple sites for multiple constituents) * perform nonparametric estimation and test for seasonal trend (even in the presence of correlated observations) * perform power and sample size computations and create companion plots for sampling designs based on confidence intervals, hypothesis tests, prediction intervals, and tolerance intervals * deal with non-detect (censored) data * perform Monte Carlo simulation and probabilistic risk assessment * reproduce specific examples in EPA guidance documents EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”