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SealedBid Auctions: Case Study
"... Auctions are an important link in supply chains. This paper presents an empirical investigation of a singleshot simultaneous or sealedbid auction. This case study concerns the mussel trade in Yerseke, the Netherlands. Quite surprisingly, companies buying large quantities of mussels turn out to pay ..."
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called hedonic price factors). To derive these results, this paper uses a linear regression model that: (i) extracts information from a large database (including 28,017 mussel lots), enabling the rejection of four intuitive nullhypotheses; (ii) has signs for all explanatory variables that are correct from
Printed: 10/8/01 4:15 Tables and figures are presented at the end of the paper SealedBid Auctions: Case Study
, 2001
"... Auctions are an important link in supply chains. This paper presents an empirical investigation of a singleshot simultaneous or sealedbid auction. This case study concerns the mussel trade in Yerseke, the Netherlands. It surprisingly demonstrates that companies buying large quantities of mussels p ..."
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, which represent objectively measured product characteristics. To derive these conclusions, this paper uses a simple linear regression model that: (i) extracts information from a database of 28,017 mussel lots enabling the rejection of four intuitive nullhypotheses; (ii) has signs for all explanatory
Printed: 10/12/01 10:13 Tables and figures are presented at the end of the paper SealedBid Auctions: Case Study
, 2001
"... Auctions are an important link in supply chains. This paper presents an empirical investigation of a singleshot simultaneous or sealedbid auction. This case study concerns the mussel trade in Yerseke, the Netherlands. Quite surprisingly, it shows that companies that buy larger quantities, pay high ..."
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characteristics. To derive these conclusions, this paper uses a simple linear regression model that (i) extracts information from a data base on 28,017 mussel lots that enables the rejection of four intuitive nullhypotheses; (ii) has signs for all explanatory variables that are correct from the economics
Estimating the number of false null hypotheses when conducting many tests
, 2003
"... Mosig et al. (2001) propose an intuitively appealing method for estimating the number of null hypotheses that are false in a multiple test situation. They present an iterative algorithm that relies on the distribution of observedvalues to obtain their estimator. We characterize the limit of their i ..."
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Cited by 2 (0 self)
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Mosig et al. (2001) propose an intuitively appealing method for estimating the number of null hypotheses that are false in a multiple test situation. They present an iterative algorithm that relies on the distribution of observedvalues to obtain their estimator. We characterize the limit
NULL HYPOTHESES BAYESIAN HYPOTHESIS TESTING PAVLOVIAN CONDITIONING STATISTICAL LEARNING ATTENTION MOTOR PLANNING EFFECT SIZE PROBABILISTIC INFERENCE
"... Null hypotheses are simple, precise and theoretically important. Conventional statistical analysis cannot support them; Bayesian analysis can. The challenge in a Bayesian analysis is to formulate a suitably vague alternative, because the vaguer the alternative is (the more it spreads out the unit ma ..."
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Null hypotheses are simple, precise and theoretically important. Conventional statistical analysis cannot support them; Bayesian analysis can. The challenge in a Bayesian analysis is to formulate a suitably vague alternative, because the vaguer the alternative is (the more it spreads out the unit
Robustness of multiple testing procedures against dependence
 The Annals of Statistics
, 2009
"... An important aspect of multiple hypothesis testing is controlling the significance level, or the level of Type I error. When the test statistics are not independent it can be particularly challenging to deal with this problem, without resorting to very conservative procedures. In this paper we show ..."
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Cited by 23 (2 self)
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discoveries. However, this result can fail if the null distributions are particularly heavytailed. There clusters of statistically significant results can occur, even when the null hypothesis is correct. We give an intuitive explanation for these disparate properties in light and heavytailed cases
Proving the Null Draft 3/27/08 Page 1/49 The Importance of Proving the Null—and How to Do It
"... Experimental results often support a null hypothesis, as shown by three illustrative examples from the recent literature. Conventional statistical analysis cannot support a null hypothesis, whereas Bayesian analysis can. The challenge in a Bayesian analysis is to formulate a suitably vague alternati ..."
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is to compute the odds for or against the null as a function of the upper limit on the vagueness of the alternative. If the odds favoring the null approach 1 from above as the hypothesized size of the effect approaches 0, then the data favor the null over any alternative to it. The simple computation
THEORETICAL NOTES The Importance of Proving the Null
"... Null hypotheses are simple, precise, and theoretically important. Conventional statistical analysis cannot support them; Bayesian analysis can. The challenge in a Bayesian analysis is to formulate a suitably vague alternative, because the vaguer the alternative is (the more it spreads out the unit m ..."
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Null hypotheses are simple, precise, and theoretically important. Conventional statistical analysis cannot support them; Bayesian analysis can. The challenge in a Bayesian analysis is to formulate a suitably vague alternative, because the vaguer the alternative is (the more it spreads out the unit
Summary
, 1993
"... We formulate the problem of choosing between two hypotheses as a problem of constructing a datadependent evidential measure for or against the null hypothesis. Such a measure should obey some intuitive desiderata which we state as axioms. We examine critically the behaviour of common rules of asses ..."
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We formulate the problem of choosing between two hypotheses as a problem of constructing a datadependent evidential measure for or against the null hypothesis. Such a measure should obey some intuitive desiderata which we state as axioms. We examine critically the behaviour of common rules
Automatic program repair with evolutionary computation,”
 Commun. ACM,
, 2010
"... Abstract There are many methods for detecting and mitigating software errors but few generic methods for automatically repairing errors once they are discovered. This paper highlights recent work combining program analysis methods with evolutionary computation to automatically repair bugs in offth ..."
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Cited by 34 (5 self)
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. Essentially, we hypothesize that even if a program is missing important functionality (e.g., a null check) in one location, it likely exhibits the correct behavior in another location, which can be copied and adapted to address the error. Second, we constrain the genetic operations of mutation and crossover
Results 1  10
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