Journal ArticleDOI
Statistical methods and scientific inference (3rd edition), by R. A. Fisher. Pp viii, 182. £4·95. 1973. SBN 0 02 844740 9 (Collier-Macmillan)
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This article is published in The Mathematical Gazette.The article was published on 1974-12-01. It has received 38 citations till now.read more
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On tests and significance in econometrics
TL;DR: In this paper, different aims of testing are investigated: theory testing, validity testing, simplification testing, and decision making, and different testing methodologies may serve these aims, in particular the approaches of Fisher and Neyman-Pearson are considered.
DissertationDOI
Novel multivariate data analysis techniques to determine functionally connected networks within the brain from EEG or MEG data
TL;DR: A novel series of multivariate data analysis methods is introduced that aims at detecting synchronization between large-scale brain sources robust to any volume conduction artifacts.
DissertationDOI
Statistics in clinical trials: out of condition. some problems of unconditional inferenceat the crossroads of methodology and ethics
TL;DR: In this paper, the authors analyze the impact of conditioning on the ethical, epistemic and regulatory facets of clinical trials and suggest the possibility of incorporating conditioning within the current statistical paradigm of clinical research.
DissertationDOI
Contributions to simulation-based estimation methods
TL;DR: It is shown that exact inference may be claimed in theory in some situations even though sample size is kept fixed and a new multi-step robust and computationally efficient estimator is proposed.
Time series classification for analysing the impact of architectural design on pedestrian spatial behaviour
TL;DR: The main purpose is to support architects and urban designers to better assess the impact of the spatial environment on the pedestrian’s behaviour in planned urban spaces by proposing a analysis system to learn the patterns of behaviour observed in a simulated and real-world architectural space.
References
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Journal ArticleDOI
The Influence Curve and Its Role in Robust Estimation
TL;DR: In this article, the first derivative of an estimator viewed as functional and the ways in which it can be used to study local robustness properties are discussed, and a theory of robust estimation "near" strict parametric models is briefly sketched and applied to some classical situations.
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Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology.
TL;DR: For example, the authors used consistency tests of a conjectural taxometric model with 94% success with zero false negatives to estimate numerical point values, even if approximate with rough tolerances; and lacking this, ranges, orderings, secondorder differences, curve peaks and valleys, and function forms should be used.
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The structure and stability of the functional independence measure
TL;DR: The necessarily curvilinear relationship between the finite range of recorded FIM raw scores and the conceptually infinite range of additive disability measures is resolved through Rasch analysis.
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Null hypothesis significance testing : A review of an old and continuing controversy
TL;DR: The concluding opinion is that NHST is easily misunderstood and misused but that when applied with good judgment it can be an effective aid to the interpretation of experimental data.
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Maximum entropy spectral analysis and autoregressive decomposition
Tad J. Ulrych,Thomas N. Bishop +1 more
TL;DR: The duality between the maximum entropy method (MEM) and the autoregressive representation of the data allows the application of recent advances in AR analysis to MEM in an attempt to obviate some shortcomings in this method of spectral decomposition as mentioned in this paper.