Adaptive psychophysical procedures

[1]  G. Dantzig On the Non-Existence of Tests of "Student's" Hypothesis Having Power Functions Independent of $\sigma$ , 1940 .

[2]  D. L. Macadam Visual Sensitivities to Color Differences in Daylight , 1942 .

[3]  R. F.,et al.  Mathematical Statistics , 1944, Nature.

[4]  David L. MacAdam,et al.  The distribution of color matchings around a color center , 1945 .

[5]  J. Gaddum Probit Analysis , 1948, Nature.

[6]  Alexander M. Mood,et al.  A Method for Obtaining and Analyzing Sensitivity Data , 1948 .

[7]  Abraham Wald,et al.  Statistical Decision Functions , 1951 .

[8]  J. Blum Approximation Methods which Converge with Probability one , 1954 .

[9]  Cyrus Derman,et al.  Non-Parametric Up-and-down Experimentation , 1957 .

[10]  H. Kesten Accelerated Stochastic Approximation , 1958 .

[11]  R. Duncan Luce,et al.  Individual Choice Behavior , 1959 .

[12]  Elizabeth F. Shipley,et al.  Dependence of Successive Judgments in Detection Tasks: Correctness of the Response , 1961 .

[13]  J. Smith,et al.  Stimulus programming in psychophysics , 1961 .

[14]  Eugene Galanter,et al.  Handbook of mathematical psychology: I. , 1963 .

[15]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[16]  M. M. Taylor,et al.  PEST: Efficient Estimates on Probability Functions , 1967 .

[17]  J. L. Hall Maximum‐Likelihood Sequential Procedure for Estimation of Psychometric Functions , 1968 .

[18]  J. Andel Sequential Analysis , 2022, The SAGE Encyclopedia of Research Design.

[19]  F. Downton Stochastic Approximation , 1969, Nature.

[20]  M. T. Wasan Stochastic Approximation , 1969 .

[21]  Davida Y. Teller,et al.  Statistical properties of staircase estimates , 1970 .

[22]  M. M. Taylor On the efficiency of psychophysical measurement. , 1971, The Journal of the Acoustical Society of America.

[23]  H. Levitt Transformed up-down methods in psychoacoustics. , 1971, The Journal of the Acoustical Society of America.

[24]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[25]  V. Barnett,et al.  Applied Linear Statistical Models , 1975 .

[26]  The five distractors experiment: exploring the critical band with contaminated white noise. , 1975, The Journal of the Acoustical Society of America.

[27]  Ray‐theoretic analysis of a mathematical model for SOFAR propagation , 1975 .

[28]  Ju¨rg Spahr,et al.  Optimization of the presentation pattern in automated static perimetry , 1975, Vision Research.

[29]  H Bebie,et al.  STATIC PERIMETRY: STRATEGIES , 1976, Acta ophthalmologica.

[30]  John M. Findlay,et al.  Estimates on probability functions: A more virulent PEST , 1978 .

[31]  A. Watson Probability summation over time , 1979, Vision Research.

[32]  A Pentland,et al.  Maximum likelihood estimation: The best PEST , 1980, Perception & psychophysics.

[33]  D. P. Andrews,et al.  APE: Adaptive probit estimation of psychometric functions , 1981 .

[34]  J. L. Hall Hybrid adaptive procedure for estimation of psychometric functions. , 1980, The Journal of the Acoustical Society of America.

[35]  Jacob Nachmias,et al.  On the psychometric function for contrast detection , 1981, Vision Research.

[36]  Alex Pentland,et al.  Microcomputer-based estimation of psychophysical thresholds: The Best PEST , 1982 .

[37]  Brian R. Shelton,et al.  Comparison of three adaptive psychophysical procedures , 1982 .

[38]  A. Watson,et al.  Quest: A Bayesian adaptive psychometric method , 1983, Perception & psychophysics.

[39]  C D Creelman,et al.  PEST reduces bias in forced choice psychophysics. , 1983, The Journal of the Acoustical Society of America.

[40]  B. R. Shelton,et al.  Two-alternative versus three-alternative procedures for threshold estimation , 1984, Perception & psychophysics.

[41]  S. McKee,et al.  Statistical properties of forced-choice psychometric functions: Implications of probit analysis , 1985, Perception & psychophysics.

[42]  C. D. Kershaw,et al.  Statistical properties of staircase estimates from two interval forced choice experiments , 1985 .

[43]  A. Hesse Comparison of several psychophysical procedures with respect to threshold estimates, reproducibility and efficiency , 1986 .

[44]  P L Emerson,et al.  Observations on maximum-likelihood and Bayesian methods of forced-choice sequential threshold estimation , 1986, Perception & psychophysics.

[45]  P L Emerson A quadrature method for Bayesian sequential threshold estimation , 1986, Perception & psychophysics.

[46]  L. Kaufman,et al.  Handbook of perception and human performance , 1986 .

[47]  Lewis O. Harvey,et al.  Efficient estimation of sensory thresholds , 1986 .

[48]  J. Angela,et al.  The Ideal Psychometric Procedure , 1987 .

[49]  R. Madigan,et al.  Maximum-likelihood psychometric procedures in two-alternative forced-choice: Evaluation and recommendations , 1987, Perception & psychophysics.

[50]  Pranab Kumar Sen,et al.  Theory and Applications of Sequential Nonparametrics , 1987 .

[51]  Richard A. Tyrrell,et al.  A rapid technique to assess the resting states of the eyes and other threshold phenomena: The Modified Binary Search (MOBS) , 1988 .

[52]  D Laming,et al.  Some performance tests of QUEST on measurements of vibrotactile thresholds , 1988, Perception & psychophysics.

[53]  S. K. Park,et al.  Random number generators: good ones are hard to find , 1988, CACM.

[54]  W A Simpson The step method: A new adaptive psychophysical procedure , 1989, Perception & psychophysics.

[55]  J. Stillman,et al.  A comparison of three adaptive psychophysical procedures using inexperienced listeners , 1989, Perception & psychophysics.

[56]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[57]  J. O'Regan,et al.  Estimating psychometric functions in forced-choice situations: Significant biases found in threshold and slope estimations when small samples are used , 1989, Perception & psychophysics.

[58]  Jonathan M. Borwein,et al.  Dictionary of mathematics , 1989 .

[59]  A. Watson,et al.  The method of constant stimuli is inefficient , 1990, Perception & psychophysics.

[60]  Theodor Landis,et al.  A ‘sheep‐goat effect’ in repetition avoidance: Extra‐sensory perception as an effect of subjective probability? , 1990 .

[61]  L. Maloney Confidence intervals for the parameters of psychometric functions , 1990, Perception & psychophysics.

[62]  D. M. Green,et al.  Stimulus selection in adaptive psychophysical procedures. , 1990, The Journal of the Acoustical Society of America.

[63]  Vijay P. Bhatkar Frontiers in knowledge-based computing , 1991 .

[64]  C Kaernbach,et al.  Simple adaptive testing with the weighted up-down method , 1991, Perception & psychophysics.

[65]  W. Swanson,et al.  Extracting thresholds from noisy psychophysical data , 1992, Perception & psychophysics.

[66]  Jens G. Reich C curve fitting and modeling for scientists and engineers , 1992 .

[67]  T E Hanna,et al.  Estimation of psychometric functions from adaptive tracking procedures , 1992, Perception & Psychophysics.

[68]  I. Rentschler,et al.  Double pulse resolution in the visual field: the influence of temporal stimulus characteristics , 1992 .

[69]  William H. Press,et al.  Numerical recipes in C++: the art of scientific computing, 2nd Edition (C++ ed., print. is corrected to software version 2.10) , 1994 .

[70]  Russell L. Woods,et al.  A comparison of psychometric methods for measuring the contrast sensitivity of experienced observers , 1993 .

[71]  D. Collett,et al.  Modelling Binary Data , 1991 .

[72]  P. King-Smith,et al.  Efficient and unbiased modifications of the QUEST threshold method: Theory, simulations, experimental evaluation and practical implementation , 1994, Vision Research.