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![]() FDI Online Design Guide. DC- offset adds a voltage directly to an input signal to obtain the output value. In most cases, later filter stages remove stop- band noise from earlier stages, but they leave noise in the pass- band unaffected. High- Q filter stages amplify noise near their corner frequencies. In an active filter, for example, the noise spectrum in the stop- band is usually flat and low level, resulting largely from the output amplifier. At the low- frequency end of the pass- band, the noise spectrum is also flat, but with a magnitude two to four times the level of the stop- band noise. Near the corner frequency, noise levels peak at magnitudes that depend on the filter's transfer function. Elliptic filters, which feature high- Q last stages, produce noise peaks near the corner frequency of three to five times the level of low- frequency pass- band noise. The importance of noise will depend on the system bandwidth and the level of signals passing through the filter. 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Revealing Statistical Principlesby J. K. Lindsey - Hodder Education Publishers , 1. Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research.(3. Statistics 1by Keijo Ruohonen - Tampere University of Technology , 2. Table of contents: Fundamental sampling distributions and data descriptions; One- and two- sample estimation; Tests of hypotheses; X2- tests; Maximum likelihood estimation; Multiple linear regression; Nonparametric statistics; Stochastic simulation.(3. Everything you wanted to know about Data Analysis and Fittingby Peter Young - ar. Xiv , 2. 01. 2These notes discuss, in a style intended for physicists, how to average data and fit it to some functional form. I try to make clear what is being calculated, what assumptions are being made, and to give a derivation of results.(3. Open. Intro Statisticsby D. M. Cetinkaya- Rundel - Open. Intro , 2. 01. 2Open. Intro Statistics is intended for introductory statistics courses at the high school through university levels. There are a large selection of exercises at the end of each chapter useful for practice or homework assignments.(4. Experimental Design and Analysisby Howard J. Seltman - Carnegie Mellon University , 2. This book is intended as required reading material for the course Experimental Design for the Behavioral and Social Sciences, a second level statistics course for undergraduate students in the College of Humanities and Social Sciences..(6. Think Bayes: Bayesian Statistics Made Simpleby Allen B. Downey - Green Tea Press , 2. Think Bayes is an introduction to Bayesian statistics using computational methods. Contents: Bayes's Theorem; Computational statistics; Tanks and Trains; Urns and Coins; Odds and addends; Hockey; The variability hypothesis; Hypothesis testing.(4. Principles of Uncertaintyby Joseph B. Kadane - Chapman and Hall/CRC , 2. An accessible, comprehensive guide to the theory of Bayesian statistics, this book presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods.(5. Introduction to Statistical Thinkingby Benjamin Yakir - The Hebrew University of Jerusalem , 2. This is an introduction to statistics, with R, without calculus. The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more.(5. Theory of Statisticsby James E. Gentle - George Mason University , 2. This document is directed toward students for whom mathematical statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of 'hard' proofs and derivations.(6. Statisticsby Philip B. Stark - University of California, Berkeley , 2. This text was written for an introductory class in Statistics for students in Business, Economics, or Social Science. This is the first and last class in Statistics. It also covers logic and reasoning at a level suitable for a general course.(7. Statistics for Health, Life and Social Sciencesby Denis Anthony - Book. Boon , 2. 01. 1This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life, or social science who has no knowledge of statistics.(5. Introductory Statistics Notesby Jamie De. Coster - University of Alabama , 1. It is important to know how to understand statistics so that we can make the proper judgments when a person presents us with an argument backed by data. Data are numbers with a context. We must always keep the meaning of our data in mind.(5. Residuals and Influence in Regressionby R. Dennis Cook, Sanford Weisberg - Chapman & Hall , 1. In this monograph, we present a detailed account of the residual based methods that we have found to be most useful, and brief summaries of other selected methods. Our emphasis is on graphical methods rather than on formal testing.(5. A First Course on Time Series Analysis with SASby Michael Falk at al. The book addresses students of statistics, economics, demography, engineering.(8. Engineering Statistics and Quality Controlby Irving W. Burr - Mc. Graw- Hill , 1. The present book is the outgrowth of a course in statistics for engineers which has been given at Purdue University. The book is written primarily as a text book for junior, senior, and graduate students of engineering and physical science.(1. Statistical Treatment of Experimental Databy Hugh D. Young - Mc. Graw Hill , 1. A concise, highly readable introduction to statistical methods. Even with a limited mathematics background, readers can understand what statistical methods are and how they may be used to obtain the best possible results from experimental data.(6. Applied Multivariate Statistical Analysisby Wolfgang K. Hardle, Leopold Simar - Springer , 2. The authors present multivariate data analysis in a way that is understandable to non- mathematicians and practitioners confronted by statistical data analysis. The book has a friendly yet rigorous style. Mathematical results are clearly stated.(1. Engineering Statistics Handbook- NIST/SEMATECH , 2. |
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