PROCESSING RANDOM DATA : Statistics For Engineers And Scientists - EDWARDS ROBERT V

Instant online reading.
Don't wait for delivery!
Go digital and save!

PROCESSING RANDOM DATA

Statistics For Engineers And Scientists

By: EDWARDS ROBERT V

Write A Review

Hardcover | 5 July 2006

At a Glance

Hardcover
154 Pages

Dimensions(cm)
22.86 x 15.24 x 1.12

Hardcover

RRP $97.99

$88.75

or 4 interest-free payments of $22.19 with

or

Ships in 15 to 25 business days

Two features of Processing Random Data differentiate it from other similar books: the focus on computing the reproducibility error for statistical measurements, and its comprehensive coverage of Maximum Likelihood parameter estimation techniques. The book is useful for dealing with situations where there is a model relating to the input and output of a process, but with a random component, which could be noise in the system or the process itself could be random, like turbulence. Parameter estimation techniques are shown for many different types of statistical models, including joint Gaussian. The Cramer-Rao bounds are described as useful estimates of reproducibility errors.Finally, using an example with a random sampling of turbulent flows that can occur when using laser anemometry the book also explains the use of conditional probabilities.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $0.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

More in Probability & Statistics

Implementing R for Statistics

Paperback

RRP $180.95

$165.75

Sports Analytics : A Guide for Coaches, Managers, and Other Decision Makers - Benjamin C. Alamar

$85.75

23%
OFF

Sampling Theory and Practice - Casey Murphy

$62.75

14%
OFF

The Practice of Statistics in the Life Sciences

4th Edition - Digital Update

Paperback

RRP $206.90

$153.75

26%
OFF

Psychology Statistics For Dummies

For Dummies

Paperback

RRP $49.95

$34.97

30%
OFF

Mathematical Statistics with Applications

7th Edition

Hardcover

RRP $244.95

$191.99

22%
OFF

How the World Really Works

A Scientist's Guide to Our Past, Present, and Future

Paperback

RRP $26.99

$22.99

15%
OFF

Rationality

What It Is, Why It Seems Scarce, Why It Matters

Paperback

RRP $26.99

$22.99

15%
OFF

Statistics for The Behavioral Sciences

10th Edition

Paperback

RRP $204.95

$159.75

22%
OFF

Hands-On Programming with R

Write Your Own Functions and Simulations

Paperback

RRP $76.00

$39.75

48%
OFF

Business Statistics

11th Edition - A Decision Making Approach, Global Edition

Paperback

RRP $177.11

$136.75

23%
OFF

Fooled By Randomness

The Hidden Role of Chance in Life and in the Markets

Paperback

RRP $26.99

$22.99

15%
OFF

Naked Statistics

Stripping the Dread from the Data

Paperback

RRP $29.95

$22.75

24%
OFF

Mathematics for Machine Learning

Paperback

RRP $79.95

$62.99

21%
OFF

Preface	p. vii
Random Variables	p. 1
Basic Concepts	p. 1
Expected Values	p. 4
Probability Distribution Functions	p. 4
Properties of probability density functions	p. 10
The Expected Value Process	p. 11
Variance and Standard Deviation	p. 12
Moments and Moment Generating Functions	p. 14
Common Types of Distributions	p. 15
Uniform distribution	p. 15
Binomial distribution	p. 16
Using the binomial distribution	p. 19
Poisson distribution	p. 20
Gaussian (or normal) distribution	p. 23
Student-t distribution	p. 24
Sum of two Gaussian variables	p. 26
The Chi-squared distribution	p. 26
The error function	p. 27
Functions of More Than One Random Variable	p. 28
(Bayes theorem)	p. 28
Joint Gaussian distributions	p. 31
Change of Variable	p. 32
Measurement of Samples of Random Numbers	p. 37
Variance of the Measured Mean	p. 37
Estimate of the Variance	p. 39
Variance of the Measured Variance	p. 41
Non-Independent Random Variables	p. 45
Histograms	p. 47
Statistical experiments involving the uniform and binomial distributions	p. 48
Confidence Limits	p. 51
Tests of hypotheses	p. 53
Time Series-Random Variables that are Functions of Time	p. 61
Averages	p. 61
The Autocovariance and Autocorrelation Function	p. 62
Variance of the average of a signal with correlation	p. 63
The Power Spectrum of a Random Signal	p. 66
Short review of Fourier transforms	p. 67
Processing Time Series by Computer	p. 69
Estimation of the Autocorrelation	p. 70
Error covariance for autocorrelation estimates	p. 70
Random, correlated signal generator	p. 75
Estimation of the Power Spectrum of Time Series Data	p. 76
Generic properties of the digital Fourier transform	p. 77
The variance of spectrum estimates	p. 79
Batch Mode Autocorrelation	p. 82
Parameter Estimation	p. 87
Motivation	p. 87
Maximum Likelihood Estimation	p. 91
Gaussian processes	p. 92
Poisson processes	p. 94
Non-independent Gaussian statistics	p. 95
Chi-squared distributions	p. 97
Residuals	p. 98
Parameter Error Estimates	p. 100
Expected errors for Gaussian statistics	p. 103
Error estimates for joint Gaussian statistics	p. 105
Error estimates for Poisson processes	p. 106
Error estimates for Chi-square distributions	p. 106
A Priori Error Estimation	p. 106
Maximum A Posteriori Estimation	p. 108
Random Sampling	p. 115
Basic Concepts of Random Sampling	p. 115
Independent Sampling	p. 116
Mean and variance of the mean with random sampling	p. 117
Spectrum and autocorrelation estimate using randomly sampled data	p. 119
Effect of finite sample intervals [Delta]t	p. 124
Sample and Hold Autocorrelation and Spectrum Estimation	p. 124
Non-Independent Sampling	p. 127
Sample and hold (rate depends on f)	p. 129
Controlled sampling	p. 132
Autocorrelation estimation	p. 133
Photon Detection	p. 134
Moments	p. 134
Autocorrelation estimation	p. 135
Index	p. 139
Table of Contents provided by Ingram. All Rights Reserved.

PROCESSING RANDOM DATA

Statistics For Engineers And Scientists

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Probability & Statistics

Implementing R for Statistics

Sports Analytics

A Guide for Coaches, Managers, and Other Decision Makers

Research Methods and Statistics in Psychology

8th Edition

Sampling Theory and Practice

Probability and Statistics for Science and Engineering

Practical Statistics

New Perspectives in Statistical Modeling

Mathematical and Statistical Methods for Actuarial Sciences

Mathematical and Statistical Methods for Actuarial Sciences

Applied Multivariate Statistical Analysis

Foundations of Statistics

Data Assimilation

Methods, Modeling and Applications

Introduction to Medical Statistics

4th edition

The Practice of Statistics in the Life Sciences

4th Edition - Digital Update

Psychology Statistics For Dummies

For Dummies

Mathematical Statistics with Applications

7th Edition

How the World Really Works

A Scientist's Guide to Our Past, Present, and Future

Rationality

What It Is, Why It Seems Scarce, Why It Matters

Statistics for The Behavioral Sciences

10th Edition

Hands-On Programming with R

Write Your Own Functions and Simulations

Business Statistics

11th Edition - A Decision Making Approach, Global Edition

Fooled By Randomness

The Hidden Role of Chance in Life and in the Markets

Naked Statistics

Stripping the Dread from the Data

Mathematics for Machine Learning

This product is categorised by