Data Reduction and Error Analysis for the Physical Sciences, Volume 1This book is designed as a laboratory companion, student textbook or reference book for professional scientists. The text is for use in one-term numerical analysis, data and error analysis, or computer methods courses, or for laboratory use. It is for the sophomore-junior level, and calculus is a prerequisite. The new edition includes applications for PC use. |
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a₁ a₂ approximation assume average binomial distribution CalcChiSq calculated Chapter chiSqr correlation corresponding counts per minute data of Example data points decay defined degrees of freedom dependent variable determine digit Equation error matrix estimate Example 6.2 experiment experimental Figure fitting function FitVars fluctuations function y(x Gaussian curve Gaussian distribution Gaussian function GenUtil graph histogram integral interpolation interval inverse matrix least-squares fit least-squares method Legendre polynomials likelihood function linear linear-correlation coefficient Lorentzian mean and standard mean lifetime minimum Monte Carlo method number of counts number of degrees number of events observations obtain parameters parent distribution parent population particles peak plot Poisson distribution polynomial probability distribution probability function problem procedure program unit random numbers result routines square standard deviation starting values statistical Table uncertainty v₁ v₂ value of x² variance x₁ y₁ Σ Σ σ² στ σχ дак дх