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You searched on: Topic Area: Math Sorted by: title

Displaying records 31 to 40 of 105 records.
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31. Channel Coding for Code Excited Linear Prediction (CELP) Encoded Speech in Mobile Radio Applications
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 5503
Topic: Math
Published: 8/1/1994
Authors: Ehud Bracha, Nariman Farvardin, Y Yesha

32. Classical and Bayesian Interpretation of the Birge Test of Consistency and Its Generalized Version in Interlaboratory Evaluations
Topic: Math
Published: 4/10/2008
Authors: Raghu N Kacker, Alistair Forbes, Ruediger Kessel, K D Sommer
Abstract: The results from an interlaboratory evaluation are said to be consistent if their dispersion is not more than what can reasonably be attributed to their stated variances. A well known test of consistency in interlaboratory evaluations is the Birge te ...

33. Combinatorial Test Generation for Software Product Lines Using Minimum Invalid Tuples
Topic: Math
Published: 1/9/2014
Authors: Yu Lei, Raghu N Kacker
Abstract: A software product line is a set of software systems that share some common features. Several recent works have been reported that apply combinatorial testing, a very effective testing strategy to software product lines. A unique challenge in these w ...

34. Combinatorial Testing of ACTS: A Case Study
Topic: Math
Published: 4/21/2012
Authors: Mehra N. Borazjany, Linbin Yu, Yu Lei, Raghu N Kacker, David R Kuhn
Abstract: In this paper we present a case study of applying combinatorial testing to test a combinatorial test generation tool called ACTS. The purpose of this study is two-fold. First, we want to gain experience and insights about how to apply combinatorial t ...

35. Comments on 'Bayesian evaluation of comparison data' by Ignacio Lira
Topic: Math
Published: 1/1/2007
Authors: Raghu N Kacker, Blaza Toman
Abstract: A recent paper by Ignacio Lira in Metrologia 43 (2006) S231-S234 addresses a well-known problem in combining information from interlaboratory evaluations. Lira presents an expression, which he claims to be the kernel of a Bayesian posterior probabili ...

36. Comparative Statistical Analysis of Test Parts Manufactured in Production Environments
Report Number: 6868
Topic: Math
Published: 6/1/2002
Authors: David E. Gilsinn, Alice V. Ling
Abstract: Estimating error uncertainties arising in parts produced on machine tools in production machine shops is not a well understood process. The current study details a process of estimating these error uncertainties. A part with significant features was ...

37. Comparative Statistical Analysis of Test Parts Manufactured in Production Environments
Series: NIST Interagency/Internal Report (NISTIR)
Topic: Math
Published: 2/2/2004
Authors: David E. Gilsinn, Alice V. Ling
Abstract: Estimating error uncertainties arising in production parts isnot a well understood process. This study developed an approach to estimatethese uncertainties. Machine tool error components on a vertical turningcenter were measured. Multiple parts were ...

38. Comparison of ISO-GUM, draft GUM Supplement 1, and Bayesian statistics using simple linear calibration
Topic: Math
Published: 1/1/2006
Authors: Raghu N Kacker, Blaza Toman, Ding Huang
Abstract: We compare three approaches for quantifying uncertainty using a measurement equation: the International Organization for Standardization (ISO) Guide to the Expression of Uncertainty in Measurement (GUM), draft GUM Supplement 1, and Bayesian statistic ...

39. Computable Error Bounds for Approximate Periodic Solutions of Autonomous Delay Differential Equations
Topic: Math
Published: 1/2/2007
Author: David E. Gilsinn
Abstract: In this paper we prove a result that says: Given an approximate solution and frequency to a periodic solution of an autonomous delay differential equation that satisfies a certain non-criticality condition, there is an exact periodic solution and fre ...

40. Constructing Sequence Alignments from a Markov Decision Model with Estimated Parameter Values
Topic: Math
Published: 1/1/2004
Authors: Fern Y Hunt, Anthony J Kearsley, Agnes A. O'Gallagher
Abstract: Current methods for aligning biological sequences are based on dynamic programming algorithms. If large numbers of sequences or a number of long ones are to be aligned the required computations are expensive in memory and CPU time. In an attempt to b ...

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