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Linear programming --- Roundoff errors --- Programmation linéaire

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If you are working in digital signal processing, control or numerical analysis, you will find this authoritative analysis of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true? Get answers to these and other important practical questions from expert authors, including the founder of the field and formulator of the theory of quantization noise, Bernard Widrow. The authors describe and analyze uniform quantization, floating-point quantization, and their applications in detail. Key features include: • Analysis of floating point round off • Dither techniques and implementation issues analyzed • Offers heuristic explanations along with rigorous proofs, making it easy to understand 'why' before the mathematical proof is given.

Roundoff errors. --- Roundoff errors --- Error analysis (Mathematics) --- Numerical analysis --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Statistics

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Part of the OXFORD STATISTICAL SCIENCE series describing the use of smoothing techniques in statistics with an emphasis on applications rather than detailed theory, and making extensive reference to S-Plus as a computing environment in which examples can be explored. S-Plus functions and example scripts are provided to implement the techniques.

Smoothing (Statistics) --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Kernel functions.

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Difference equations --- Initial value problems --- Roundoff errors --- Equations aux différences --- Numerical solutions --- Numerical solutions --- Solutions numériques

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Smoothing (Statistics) --- Estimation theory --- Analysis of variance --- 519.2 --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Estimating techniques --- Least squares --- Mathematical statistics --- Stochastic processes --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design