- Book
- xiii, 136 p. : ill. ; 26 cm.
- 1. Errors in the physical sciences -- 2. Random errors in measurement -- 3. Uncertainties as probabilities -- 4. Error propagation -- 5. Data visualisation and reduction -- 6. Least-squares fitting of complex functions -- 7. Computer minimisation and the error matrix -- 8. Hypothesis testing - how good are our models -- 9. Topics for further summary.
- (source: Nielsen Book Data)9780199566334 20160604
(source: Nielsen Book Data)9780199566334 20160604
- 1. Errors in the physical sciences -- 2. Random errors in measurement -- 3. Uncertainties as probabilities -- 4. Error propagation -- 5. Data visualisation and reduction -- 6. Least-squares fitting of complex functions -- 7. Computer minimisation and the error matrix -- 8. Hypothesis testing - how good are our models -- 9. Topics for further summary.
- (source: Nielsen Book Data)9780199566334 20160604
(source: Nielsen Book Data)9780199566334 20160604
Engineering Library (Terman), eReserve
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA275 .H845 2010 | Unknown 4-hour loan |
eReserve | Status |
---|---|
Instructor's copy | |
(no call number) | Unknown |
PHYSICS-67-01
- Course
- PHYSICS-67-01 -- Introduction to Laboratory Physics
- Instructor(s)
- Pam, Rick
- Book
- xi, 320 p. : ill. ; 24 cm.
- 1 Uncertainties in Measurements 2 Probability Distributions 3 Error Analysis 4 Estimates of Mean and Errors 5 Monte Carlo Techniques 6 Least-Squares Fit to a Straight Line 7 Least-Squares Fit to a Polynomial 8 Least-Squares Fit to an Arbitrary Function 9 Fitting Composite Curves 10 Direct Application of the Maximum-Likelihood Method 11 Testing the Fit Appendix A Numerical Methods Appendix B Matrices Appendix C Graphs and Tables Appendix D Histograms and Graphs Appendix E Computer Routines in Fortran.
- (source: Nielsen Book Data)9780072472271 20160528
(source: Nielsen Book Data)9780072472271 20160528
- 1 Uncertainties in Measurements 2 Probability Distributions 3 Error Analysis 4 Estimates of Mean and Errors 5 Monte Carlo Techniques 6 Least-Squares Fit to a Straight Line 7 Least-Squares Fit to a Polynomial 8 Least-Squares Fit to an Arbitrary Function 9 Fitting Composite Curves 10 Direct Application of the Maximum-Likelihood Method 11 Testing the Fit Appendix A Numerical Methods Appendix B Matrices Appendix C Graphs and Tables Appendix D Histograms and Graphs Appendix E Computer Routines in Fortran.
- (source: Nielsen Book Data)9780072472271 20160528
(source: Nielsen Book Data)9780072472271 20160528
Engineering Library (Terman)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA278 .B48 2003 | Unknown 2-hour loan |
QA278 .B48 2003 | Unknown 2-hour loan |
QA278 .B48 2003 | Unknown 2-hour loan |
PHYSICS-67-01
- Course
- PHYSICS-67-01 -- Introduction to Laboratory Physics
- Instructor(s)
- Pam, Rick
- Book
- xvii, 327 p. : ill. ; 26 cm.
- Preliminary description of error analysis-- how to report and use uncertainties-- propagation of uncertainties-- statistical analysis of random uncertainties-- the normal distribution-- rejection of data-- weighted averages-- least-squares fitting-- covariance and correlation-- the binominal distribution-- the poisson distribution-- the x2 test for distribution. Appendices: normal error integral-- normal error integral II-- probabilities for correlation coefficients-- probabilities for x2.
- (source: Nielsen Book Data)9780935702422 20160528
(source: Nielsen Book Data)9780935702422 20160528
- Preliminary description of error analysis-- how to report and use uncertainties-- propagation of uncertainties-- statistical analysis of random uncertainties-- the normal distribution-- rejection of data-- weighted averages-- least-squares fitting-- covariance and correlation-- the binominal distribution-- the poisson distribution-- the x2 test for distribution. Appendices: normal error integral-- normal error integral II-- probabilities for correlation coefficients-- probabilities for x2.
- (source: Nielsen Book Data)9780935702422 20160528
(source: Nielsen Book Data)9780935702422 20160528
Engineering Library (Terman), Marine Biology Library (Miller)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QC39 .T4 1997 | Unknown 2-hour loan |
Marine Biology Library (Miller) | Status |
---|---|
Stacks | |
QC39 .T4 1997 | Unknown |
PHYSICS-67-01
- Course
- PHYSICS-67-01 -- Introduction to Laboratory Physics
- Instructor(s)
- Pam, Rick
- Book
- xii, 95 p. : ill. ; 23 cm.
- Preface-- Glossary-- 1. Experimental errors-- 1.1. Why estimate errors?-- 1.2. Random and systematic errors-- 1.3. Distributions-- 1.4. Mean and variance-- 1.5. Gaussian distribution-- 1.6. The meaning of s-- 1.7. Combining errors-- 1.8. Systematic errors-- 1.9. An example including random and systematic errors-- 1.10. Combining results of different experiments-- 1.11. Worked examples-- 1.12. Does it feel right?-- 2. Least squares fitting-- 2.1. What are we trying to do-- 2.2. Weighted sum of squares-- 2.3. Determining the parameters-- 2.4. The error on the gradient and the intercept-- 2.5. Other examples-- 2.6. Observed numbers-- 2.7. Parameter testing-- 2.8. Distribution testing-- 2.9. Worked example of a straight line fit-- 2.10. Summary of straight line fitting-- Problems-- Appendices.
- (source: Nielsen Book Data)9780521424639 20160528
(source: Nielsen Book Data)9780521424639 20160528
- Preface-- Glossary-- 1. Experimental errors-- 1.1. Why estimate errors?-- 1.2. Random and systematic errors-- 1.3. Distributions-- 1.4. Mean and variance-- 1.5. Gaussian distribution-- 1.6. The meaning of s-- 1.7. Combining errors-- 1.8. Systematic errors-- 1.9. An example including random and systematic errors-- 1.10. Combining results of different experiments-- 1.11. Worked examples-- 1.12. Does it feel right?-- 2. Least squares fitting-- 2.1. What are we trying to do-- 2.2. Weighted sum of squares-- 2.3. Determining the parameters-- 2.4. The error on the gradient and the intercept-- 2.5. Other examples-- 2.6. Observed numbers-- 2.7. Parameter testing-- 2.8. Distribution testing-- 2.9. Worked example of a straight line fit-- 2.10. Summary of straight line fitting-- Problems-- Appendices.
- (source: Nielsen Book Data)9780521424639 20160528
(source: Nielsen Book Data)9780521424639 20160528
Cambridge Core Access limited to 3 simultaneous users.
- Cambridge Core Access limited to 3 simultaneous users.
- Google Books (Full view)
Engineering Library (Terman), eReserve
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QC33 .L9 1991 | Unknown 4-hour loan |
QC33 .L9 1991 | Unknown 4-hour loan |
eReserve | Status |
---|---|
Instructor's copy | |
(no call number) | Unknown |
PHYSICS-67-01
- Course
- PHYSICS-67-01 -- Introduction to Laboratory Physics
- Instructor(s)
- Pam, Rick
- Book
- xv, 204 p. : ill. ; 24 cm.
- Using statistics-- describing the data-- theoretical distributions - bionomial distribution, the Poisson distribution, the Gaussian distribution-- errors-- estimation-- least squares-- probability and confidence-- taking decisions-- ranking methods-- notes for number crunchers. Appendices: answers to problems-- proof of the Central Limit Theorem.
- (source: Nielsen Book Data)9780471922940 20160527
- Using Statistics. Describing the Data. Theoretical Distributions. Errors. Estimation. Least Squares. Probability and Confidence. Taking Decisions. Ranking Methods. Notes for Number Crunchers. Bibliography. Appendices. Index.
- (source: Nielsen Book Data)9780471922957 20160528
(source: Nielsen Book Data)9780471922940 20160527
The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A.C. Phillips Computing for Scientists R. J. Barlow and A. R. Barnett Written by a physicist, Statistics is tailored to the needs of physical scientists, containing and explaining all they need to know. It concentrates on parameter estimation, especially the methods of Least Squares and Maximum Likelihood, but other techniques, such as hypothesis testing, Bayesian statistics and non-parametric methods are also included. Intended for reasonably numerate scientists it contains all the basic formulae, their derivations and applications, together with some more advanced ones. Statistics features: Comprehensive coverage of the essential techniques physical scientists are likely to need. A wealth of examples, and problems with their answers. Flexible structure and organisation allows it to be used as a course text and a reference. A review of the basics, so that little prior knowledge is required.
(source: Nielsen Book Data)9780471922957 20160528
- Using statistics-- describing the data-- theoretical distributions - bionomial distribution, the Poisson distribution, the Gaussian distribution-- errors-- estimation-- least squares-- probability and confidence-- taking decisions-- ranking methods-- notes for number crunchers. Appendices: answers to problems-- proof of the Central Limit Theorem.
- (source: Nielsen Book Data)9780471922940 20160527
- Using Statistics. Describing the Data. Theoretical Distributions. Errors. Estimation. Least Squares. Probability and Confidence. Taking Decisions. Ranking Methods. Notes for Number Crunchers. Bibliography. Appendices. Index.
- (source: Nielsen Book Data)9780471922957 20160528
(source: Nielsen Book Data)9780471922940 20160527
The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A.C. Phillips Computing for Scientists R. J. Barlow and A. R. Barnett Written by a physicist, Statistics is tailored to the needs of physical scientists, containing and explaining all they need to know. It concentrates on parameter estimation, especially the methods of Least Squares and Maximum Likelihood, but other techniques, such as hypothesis testing, Bayesian statistics and non-parametric methods are also included. Intended for reasonably numerate scientists it contains all the basic formulae, their derivations and applications, together with some more advanced ones. Statistics features: Comprehensive coverage of the essential techniques physical scientists are likely to need. A wealth of examples, and problems with their answers. Flexible structure and organisation allows it to be used as a course text and a reference. A review of the basics, so that little prior knowledge is required.
(source: Nielsen Book Data)9780471922957 20160528
Engineering Library (Terman)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QC174.8 .B365 1989 | Unknown 4-hour loan |
QC174.8 .B365 1989 | Unknown 4-hour loan |
PHYSICS-67-01
- Course
- PHYSICS-67-01 -- Introduction to Laboratory Physics
- Instructor(s)
- Pam, Rick