Search Results

Testing for joint significance in nonstationary ordered choice model,
Peng Xu, in Economics Letters (2015)
Keywords: Ordered choice model; Nonstationarity; Significance test;

Significance test in nonstationary multinomial logit model,
Chia-Shang J. Chu, Nan Liu and Lina Zhang, in Economics Letters (2016)
Keywords: Nonstationary multinomial logit; Discrete autoregression; Significance test;

Caveats for using statistical significance tests in research assessments,
Jesper W. Schneider, in Journal of Informetrics (2013)
Keywords: Statistical significance tests; Problems and misuse; Research assessment;

Sound and fury: McCloskey and significance testing in economics,
Kevin Hoover and Mark Siegler, in Journal of Economic Methodology (2008)
Keywords: Deidre McCloskey, Stephen Ziliak, statistical significance, economic significance, significance tests, R.A. Fisher, Neyman-Pearson testing, specification search, C10, C12, B41,

Institutionalized dualism: statistical significance testing as myth and ceremony,
Marc Orlitzky, in Metrika: International Journal for Theoretical and Applied Statistics (2011)
Keywords: Epistemology, Neoinstitutional theory, Null hypothesis significance testing, Quantitative methods, Sociology of science, Statistical significance test,

Statistical Significance in the New Tom and the Old Tom: A Reply to Thomas Mayer,
Deirdre N. McCloskey and Stephen Ziliak, in Econ Journal Watch (2012)
Keywords: Significance test, economic significance, t test, oomph

Significance test in nonstationary logit panel model with serially correlated dependent variable,
Chia-Shang J. Chu, Nan Liu and Lina Zhang, in Economics Letters (2017)
Keywords: Nonstationary panel logit; Serial correlation; Significance test;

Misinterpreting a Failure to Disconfirm as a Confirmation: A Recurrent Misreading of Significance Tests,
Thomas Mayer, from University of California, Davis, Department of Economics (2003)
Keywords: significance tests, t values, t coefficients, confirmation

SMILEPLOT: Stata module to create plots for use with multiple significance tests,
Roger Newson, from Boston College Department of Economics (2012)
Keywords: plot, multiple analyses, multiple significance tests

Asset pricing with neural networks: Significance tests,
Hasan Fallahgoul, Vincentius Franstianto and Xin Lin, in Journal of Econometrics (2024)
Keywords: Asset Pricing; Risk Premium; Neural Networks; Variable Significance Test;

Nonparametric Significance Testing in Measurement Error Models,
Hao Dong and Luke Taylor, from Southern Methodist University, Department of Economics (2020)
Keywords: Significance test, deconvolution, classical measurement error, unknown error distribution.

Accounting research and the significance test crisis,
David Johnstone, in CRITICAL PERSPECTIVES ON ACCOUNTING (2022)
Keywords: Empirical accounting research; Significance tests; Replication crisis; p-levels; p-hacking; Registered reports;

On some significance tests in cluster analysis,
H. Bock, in Journal of Classification (1985)
Keywords: Significance test, Homogeneity, Heterogeneity, Gap test, Minimum within-cluster sum of squares, Maximum F statistics, Asymptotic normal distribution,

Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations,
Jesper W. Schneider, in Scientometrics (2015)
Keywords: Null hypothesis significance test, Fisher’s significance test, Neyman–Pearson’s hypothesis test, Statistical inference, Scientometrics

Ziliak and McClosky?s Criticisms of Significance Tests: A Damage Assessment,
Thomas Mayer, from University of California, Davis, Department of Economics (2012)
Keywords: Significance tests, ts, confidence intervals, Zilliak, McCloskey, oomph

Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note,
Tim Goedemé, Karel Van den Bosch, Lina Salanauskaite and Gerlinde Verbist, from Herman Deleeck Centre for Social Policy, University of Antwerp (2013)
Keywords: Statistical inference, significance tests, microsimulation, covariance, t-test, EUROMOD

Ziliak and McCloskey's Criticisms of Significance Tests: An Assessment,
Thomas Mayer, in Econ Journal Watch (2012)
Keywords: Significance tests, t’s, p’s, confidence intervals, Ziliak, McCloskey, oomph

Testing the significance of the successive components in redundancy analysis,
Aziz Lazraq and Robert Cléroux, in Psychometrika (2002)
Keywords: redundancy analysis, significant factors, tests of significance, canonical correlation, multivariate linear regression,

ANNINPTSIGTEST: MATLAB function to test the statistical significance of inputs,
Shapour Mohammadi, from Boston College Department of Economics (2020)
Keywords: Neural Networks, Input Significance Test, Nonlinear models, Nuisance parameters, Variable selection, Pruning of Neural Networks

REGEXACTDW: RATS procedure to compute the exact significance level for the Durbin-Watson,
Tom Doan, from Boston College Department of Economics
Keywords: Durbin-Watson test significance levels

A Frequentist Alternative to Significance Testing, p -Values, and Confidence Intervals,
David Trafimow, in Econometrics (2019)
Keywords: a priori procedure; null hypothesis significance testing; confidence intervals; p -values; estimation; hypothesis testing

Is Banning Significance Testing the Best Way to Improve Applied Social Science Research? – Questions on Gorard (2016),
Thees F Spreckelsen and Mariska Van Der Horst, in Sociological Research Online (2016)
Keywords: Statistical Significance; Transparency; Replication; Ban; Hypothesis Testing; Controversy

Damaging Real Lives through Obstinacy: Re-Emphasising Why Significance Testing is Wrong,
Stephen Gorard, in Sociological Research Online (2016)
Keywords: Significance Testing; Inverse Probabilities; Statistical Errors; Ethics of Social Research

We Agree That Statistical Significance Proves Essentially Nothing: A Rejoinder to Thomas Mayer,
Stephen Ziliak and Deirdre N. McCloskey, in Econ Journal Watch (2013)
Keywords: Significance test, economic significance, Student’s t, oomph, Gosset, Fisher

How redefining statistical significance can worsen the replication crisis,
Cole Williams, in Economics Letters (2019)
Keywords: Significance testing; Statistical significance; Replication crisis; Negative selection;

Statistical Significance, Power of the Test, and Effect Size Measures in Two-independent-samples t-test case,
Svetlana Todorova, in Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series (2022)
Keywords: statistical significance, power of the test, effect size, sample size, independent samples t-test

Bootstrap estimation of actual significance levels for tests based on estimated nuisance parameters,
Qiwei Yao, Wengyan Yang and Howell Tong, from London School of Economics and Political Science, LSE Library (2001)
Keywords: bootstrap estimation; extreme value; hypothesis test; non-regular parametric family; nuisance parameter; significance level

The role of effect size and significance test in research design and analysis,
H.a Elsayir, in Edelweiss Applied Science and Technology (2024)
Keywords: Cohen’s d, confidence interval, Effect Size, Meta-analysis, Significance Test.

Back to Basics: Is Statistical Significance all that Matters?,
Nektarios Michail and Constantinos I. Massouras, from Central Bank of Cyprus (2014)
Keywords: correlation, statistical significance, hypothesis testing, t test, F test

On the significance testing of fuzzy regression applied to the CAPM: Canadian commodity futures evidence,
K. Smimou, in International Journal of Applied Management Science (2013)
Keywords: finance; capital asset pricing model; CAPM; commodity futures; price limits; systematic risk; fuzzy linear regression; significance testing; Canada; regression modelling.

Statistical Significance Revisited,
Maike Tormählen, Galiya Klinkova and Michael Grabinski, in Mathematics (2021)
Keywords: statistical significance; confidence; medication tests; central limit theorem; fat tail

The (Non-)Significance of Quantitative Management Research: The Demise of Popper in View of a Hypothesis-Verifying Publication Norm,
Anna Stafsudd, from Lund University, Institute of Economic Research (2004)
Keywords: hypothesis testing; significance bias; publication bias

Exploring the Meaning of Significance in Experimental Economics,
Andreas Ortman and Le Zhang, from School of Economics, The University of New South Wales (2013)
Keywords: Null Hypothesis Significance Testing, Type-I-errors, Type-II errors, Significance level, Statistical power

Significance levels for multiple tests,
Sergiu Hart and Benjamin Weiss, in Statistics & Probability Letters (1997)
Keywords: Rüger tests Order statistics

On the interpretation of panel unit root tests,
Mohammad Pesaran, in Economics Letters (2012)
Keywords: Unit root tests; Panels; Statistical significance;

Nonparametric significance testing,
Pascal Lavergne and Quang Vuong, from Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes (1998)
Keywords: Hypothesis testing, Kernel estimation, Nested models

A test of the hypothesis that Cronbach's alpha reliability coefficient is the same for two tests administered to the same sample,
Leonard Feldt, in Psychometrika (1980)
Keywords: coefficient alpha, reliability coefficients, tests of significance,

Testing for the significance of functional covariates,
Samuel Maistre and Valentin Patilea, in Journal of Multivariate Analysis (2020)
Keywords: Functional data; Goodness-of-fit test; Kernel smoothing; U−statistics;

Comments on Huberty’s Test of the Squared Multiple Correlation Coefficient,
Yiu-Fai Yung, in Journal of Educational and Behavioral Statistics (1996)
Keywords: multiple correlation coefficient; multiple regressions; significance tests

Issues involving the use of significant sameness in testing replications and generating knowledge,
A. Dwayne Ball and Alan G. Sawyer, in Journal of Business Research (2013)
Keywords: Significance testing; Replication; Scientific knowledge; Confidence interval;

How to Choose the Level of Significance: A Pedagogical Note,
Jae Kim, from University Library of Munich, Germany (2015)
Keywords: Expected Loss, Statistical Significance, Sample Size, Power of the test

Significance testing in empirical finance: A critical review and assessment,
Jae Kim and Philip Inyeob Ji, in Journal of Empirical Finance (2015)
Keywords: Level of significance; Lindley paradox; Massive sample size; Meehl's conjecture; Publication bias; Spurious statistical significance;

Small-Sample Accuracy of Approximate Distributions of Functions of Observed Probabilities From t Tests,
Betsy Jane Becker, in Journal of Educational and Behavioral Statistics (1991)
Keywords: p values ; significance testing ; meta-analysis

Significance Tests Harm Progress in Forecasting,
J. Armstrong, from University Library of Munich, Germany (2007)
Keywords: accuracy measures, combining forecasts, confidence intervals, effect size, M-competition, meta-analysis, null hypothesis, practical significance, replications

Statistical vs. economic significance in economics and econometrics: further comments on McCloskey and Ziliak,
Tom Engsted, in Journal of Economic Methodology (2009)
Keywords: statistical and economic significance, statistical hypothesis testing, model evaluation, misspecified models,

Statistical vs. Economic Significance in Economics and Econometrics: Further comments on McCloskey & Ziliak,
Tom Engsted, from Department of Economics and Business Economics, Aarhus University (2009)
Keywords: Statistical and economic significance, statistical hypothesis testing, model evaluation, misspecified models

Confidence intervals for dependent data: Equating non-overlap with statistical significance,
David Afshartous and Richard A. Preston, in Computational Statistics & Data Analysis (2010)
Keywords: Margin of error Significance test Type I error Crossover trial

How to evaluate rankings of academic entities using test data,
Marcel Dunaiski, Jaco Geldenhuys and Willem Visser, in Journal of Informetrics (2018)
Keywords: Evaluating rankings; Test data; Cranfield paradigm; Significance testing;

Some (maybe) unpleasant arithmetic in minimum wage evaluations: The role of power, significance and sample size,
Ronald Bachmann, Rahel Felder, Sandra Schaffner and Marcus Tamm, from RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen (2018)
Keywords: power calculation, sample size, significance testing, evaluation, minimum wage

Some (Maybe) Unpleasant Arithmetic in Minimum Wage Evaluations: The Role of Power, Significance and Sample Size,
Ronald Bachmann, Rahel Felder, Sandra Schaffner and Marcus Tamm, from Institute of Labor Economics (IZA) (2018)
Keywords: power calculation, sample size, significance testing, evaluation, minimum wage

Improved Significance Probabilities of the Wilcoxon Test,
J. L. Hodges, Philip H. Ramsey and Sergio Wechsler, in Journal of Educational and Behavioral Statistics (1990)
Keywords: Mann-Whitney U test; exact probabilities

A Significance Test for Covariates in Nonparametric Regression,
Pascal Lavergne, Samuel Maistre and Valentin Patilea, from Toulouse School of Economics (TSE) (2014)
Keywords: Testing; Bootstrap; Kernel Smoothing; U−statistic

What Fuels Publication Bias?: Theoretical and Empirical Analyses of Risk Factors Using the Caliper Test,
Auspurg Katrin and Hinz Thomas, in Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) (2011)
Keywords: Significance testing, publication bias, caliper test, rational choice, sociology of science, Significance testing, publication bias, caliper test, rational choice, sociology of science

Randomized versus non-randomized hypergeometric hypothesis testing with crisp and fuzzy hypotheses,
Nataliya Chukhrova and Arne Johannssen, in Statistical Papers (2020)
Keywords: Fuzzy statistics, Fuzzy hypotheses, Hypergeometric test, Hypothesis testing for a proportion, Randomized test, Test of significance, Alternative test, Creditworthiness

On the Nature and Role of Hypothesis Tests,
A. McLean, from Monash University, Department of Econometrics and Business Statistics (2001)
Keywords: Hypothesis test; Significance; p value; Probability Model; Statistical model; Prediction

On the Screening of Large Numbers of Significance Tests,
Man Yu Wong and D.R. Cox, in Journal of Applied Statistics (2007)
Keywords: False discovery rate, mixture of distributions, Bayes factor, multiple testing,

Testing normality of data on a multivariate grid,
Lajos Horvath, Piotr Kokoszka and Shixuan Wang, in Journal of Multivariate Analysis (2020)
Keywords: Gaussian process; Lattice data; Significance test; Spatial statistics;

SIGNIFICANCE TESTS FOR A MIS-SPECIFIED TOBIT MODEL,
L.W. Taylor, from Australian National University - Department of Economics (1989)
Keywords: tests ; measurement

A note on combining dependent tests of significance,
Joachim Hartung, from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen (1998)
Keywords: Combining dependent test statistics, Combining p values, Non parametric meta analysis, Inverse normal method, Multiple endpoints

Reprint: Hypothesis testing on high dimensional quantile regression,
Zhao Chen, Vivian Xinyi Cheng and Xu Liu, in Journal of Econometrics (2024)
Keywords: Heavy-tailed distribution; High dimensional test; Nuisance parameter; Significance of variables;

A test for the mean vector with fewer observations than the dimension,
Muni S. Srivastava and Meng Du, in Journal of Multivariate Analysis (2008)
Keywords: Asymptotic distribution DNA microarray Multivariate normal Power comparison Significance test

Hypothesis testing on high dimensional quantile regression,
Zhao Chen, Vivian Xinyi Cheng and Xu Liu, in Journal of Econometrics (2024)
Keywords: Heavy-tailed distribution; High dimensional test; Nuisance parameter; Significance of variables;

Power of testing for exposure effects under incomplete mediation,
Zhou Ruixuan R., Zucker David M. and Zhao Sihai D., in The International Journal of Biostatistics (2024)
Keywords: debiased lasso, high-dimensional inference, mediation analysis, power, significance testing

Statistical tests on two characteristics of the shapes of cluster diagrams,
M. Dale and J. Moon, in Journal of Classification (1988)
Keywords: Combinatorial enumeration, Dendrogram, Hierarchical cluster analysis, Shape, Significance testing,

Functional test for high-dimensional covariance matrix, with application to mitochondrial calcium concentration,
Tao Zhang, Zhiwen Wang and Yanling Wan, in Statistical Papers (2021)
Keywords: High-dimensional data, Functional data analysis, Significance test, Covariance matrix

Reply to Deirdre McCloskey and Stephen Ziliak on Statistical Significance,
Thomas Mayer, in Econ Journal Watch (2013)
Keywords: Significance tests, t’s, p’s, confidence intervals, Ziliak, McCloskey, oomph

TESTING THE SIGNIFICANCE OF THE DEPARTURES FROM UTILITY MAXIMIZATION,
Philippe de Peretti, from HAL (2005)
Keywords: weak separability,nonparametric,test

TESTING THE SIGNIFICANCE OF THE DEPARTURES FROM UTILITY MAXIMIZATION,
Philippe de Peretti, from HAL (2005)
Keywords: weak separability,nonparametric,test

Tests of significance using selected sample quantiles,
A. K. MD. Ehsanes Saleh, M. Masoom Ali and Dale Umbach, in Statistics & Probability Letters (1984)
Keywords: quantiles tests of hypotheses

Marginal Effects and Significance Testing with Heckman's Sample Selection Model: A Methodological Note,
Colin Vance, from RWI - Leibniz-Institut für Wirtschaftsforschung (2006)
Keywords: Heckman model, statistical significance, delta method, nonparametric bootstrap, dispute severity

Damaging the Case for Improving Social Science Methodology through Misrepresentation: Re-Asserting Confidence in Hypothesis Testing as a Valid Scientific Process,
James Nicholson and Sean Mccusker, in Sociological Research Online (2016)
Keywords: Significance Testing; Inverse Probabilities; Statistical Errors; Ethics of Social Research

The reporting of statistical significance in scientific journals,
Jan M. Hoem, in Demographic Research (2008)
Keywords: statistical significance

Sequential Detection of Compromised Items Using Response Times in Computerized Adaptive Testing,
Edison M. Choe, Jinming Zhang and Hua-Hua Chang, in Psychometrika (2018)
Keywords: test security, response time, computerized adaptive testing, sequential analysis, change-point detection, repeated significance tests

Skewness-kurtosis adjusted confidence estimators and significance tests,
Wolf-Dieter Richter, in Journal of Statistical Distributions and Applications (2016)
Keywords: Orders of confidence, Orders of modified local alternatives, True non-covering probabilities, Local non-true parameter choice, Covering probabilities, Linnik condition, Osipov-type condition, Skewness-kurtosis adjusted decisions, Order of significance, Error probabilities of first and second kind, Exponential family, Large deviations

The P-Value Debate and Implications for Management Research: The Significance of A Priori Probability,
Liang Ding Jia, Ze Min Lin, Tao Wang, Meng Meng Bu and Gang He, from HAL (2024)
Keywords: P-value,Inverse probability of false positives,Prior probability,Null hypothesis significance testing (NHST)

Statistical inference on the significance of rows and columns for matrix-valued data in an additive model,
Xiumin Liu, Lu Niu and Junlong Zhao, in TEST: An Official Journal of the Spanish Society of Statistics and Operations Research (2023)
Keywords: Matrix-valued data, Row and column significance, Hypothesis testing, Confidence interval, Variable screening

Assessment of the Significance of Sample Serial Correlation by the Bootstrap Test,
Sheng Yue and Chun Wang, in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) (2002)
Keywords: bootstrap, power of a test, serial correlation, statistical hydrology,

Optimizing effective numbers of tests by vine copula modeling,
Steffen Nico and Thorsten Dickhaus, in Dependence Modeling (2020)
Keywords: Dißmann Algorithm, family-wise error rate, global significance level, Kendall’s τ, local significance levels, multiple testing

A Nonparametric Graphical Tests of Significance in Functional GLM,
Tomáš Mrkvička, Tomáš Roskovec and Michael Rost, in Methodology and Computing in Applied Probability (2021)
Keywords: Functional ANCOVA, Freedman-Lane algorithm, Global envelope test, Groups comparison, Permutation test

Application of the full Bayesian significance test to model selection under informative sampling,
A. Sikov and J. M. Stern, in Statistical Papers (2019)
Keywords: Informative sampling, Design variables, Inclusion probability, Bayesian significance measures, Horvitz–Thompson estimator, Population distribution, Sample distribution

Smoothed nonparametric tests and approximations of p-values,
Yoshihiko Maesono, Taku Moriyama and Mengxin Lu, in Annals of the Institute of Statistical Mathematics (2018)
Keywords: Edgeworth expansion, Kernel estimator, Sign test, Significance probability, Wilcoxon’s signed rank test

Towards an uniformly most powerful binomial test,
Sascha Wörz and Heinz Bernhardt, in Statistical Papers (2020)
Keywords: Uniformly most powerful size- $$\alpha $$ α binomial test with significance level $$\alpha $$ α, Binomial test

Conceptual Model for Determining the Statistical Significance of Predictive Indicators for Bus Transit Demand Forecasting,
Bojan Jovanović, Kamer Shabanaj and Marko Ševrović, in Sustainability (2022)
Keywords: passenger demand prediction; travel demand modelling; public transit planning; big data; statistical significance testing; multiple regression

Revisiting the Large n (Sample Size) Problem: How to Avert Spurious Significance Results,
Aris Spanos, in Stats (2023)
Keywords: large n problem; Neyman–Pearson testing; p -value; post-data severity evaluation; spurious statistical significance

An efficient algorithm for Lindner’s test (configural frequency analysis),
Joachim Harloff, in Quality & Quantity: International Journal of Methodology (2012)
Keywords: Significance test, Hypergeometrical test, Lindner’s test, Nonparametric test, Configural frequency analysis (CFA), Contingency tables, Biometry, Syndrome,

Interpreting tests of a hypothesis at multiple alpha levels within a Neyman–Pearson framework,
Janet Aisbett, in Statistics & Probability Letters (2023)
Keywords: Multiple hypothesis testing; Significance level; p-values; Simultaneous hypothesis tests; Coherence;

Testing covariates in high dimension linear regression with latent factors,
Wei Lan, Yue Ding, Zheng Fang and Kuangnan Fang, in Journal of Multivariate Analysis (2016)
Keywords: Approximate factor model; Global significance testing; High dimension regression; Individual effect testing;

A link-free method for testing the significance of predictors,
Peng Zeng, in Journal of Multivariate Analysis (2011)
Keywords: Fourier transform Nonparametric hypothesis testing Variable selection Weighted chi-squared distribution

Nonparametric significance testing and group variable selection,
Adriano Zanin Zambom and Michael G. Akritas, in Journal of Multivariate Analysis (2015)
Keywords: Backward elimination; Dimension reduction; Heteroscedasticity; Lack-of-fit tests; Local polynomial regression; Nonparametric regression;

Significance testing for canonical correlation analysis in high dimensions,
Ian W McKeague and Xin Zhang, in Biometrika (2022)
Keywords: Efficient one-step estimator, Greedy search algorithm, Large-scale testing, Postselection inference