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The ASA's Statement on p -Values: Context, Process, and Purpose

Citations

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Cited by:

  1. Mayo, Deborah & Morey, Richard Donald, 2017. "A Poor Prognosis for the Diagnostic Screening Critique of Statistical Tests," OSF Preprints ps38b, Center for Open Science.
  2. Pathairat Pastpipatkul & Petchaluck Boonyakunakorn & Kanyaphon Phetsakda, 2020. "The Impact of Thailand’s Openness on Bilateral Trade between Thailand and Japan: Copula-Based Markov Switching Seemingly Unrelated Regression Model," Economies, MDPI, vol. 8(1), pages 1-13, January.
  3. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
  4. Jeffrey D Blume & Lucy D’Agostino McGowan & William D Dupont & Robert A Greevy Jr., 2018. "Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
  5. Chatelain, Jean-Bernard & Ralf, Kirsten, 2018. "Publish and Perish: Creative Destruction and Macroeconomic Theory," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 46(2), pages 65-101.
  6. Nicolas Vallois & Dorian Jullien, 2018. "A history of statistical methods in experimental economics," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 25(6), pages 1455-1492, November.
  7. Fitzgerald, Jack, 2025. "Identifying the Impact of Hypothetical Stakes on Experimental Outcomes and Treatment Effects," MetaArXiv j5nmf_v1, Center for Open Science.
  8. Karmakar, Bisheswar & Pal, Sucharita & Gopikrishna, Konga & Tiwari, Onkar Nath & Halder, Gopinath, 2022. "Injection of superheated C1 and C3 alcohols in non-edible Pongamia pinnata oil for semi-continuous uncatalyzed biodiesel synthesis," Renewable Energy, Elsevier, vol. 185(C), pages 850-861.
  9. Palea, Vera & Drogo, Federico, 2020. "Carbon Emissions and the Cost of Debt Financing: What Role for Policy Commitment, Firm Disclosure and Corporate Governance?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202002, University of Turin.
  10. Grant G. Thompson & Lynn A. Maguire & Tracey J. Regan, 2018. "Evaluation of Two Approaches to Defining Extinction Risk under the U.S. Endangered Species Act," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 1009-1035, May.
  11. Emma L. J. Eyre & Cain C. T. Clark & Jason Tallis & Danielle Hodson & Sean Lowton-Smith & Charlotte Nelson & Mark Noon & Michael J. Duncan, 2020. "The Effects of Combined Movement and Storytelling Intervention on Motor Skills in South Asian and White Children Aged 5–6 Years Living in the United Kingdom," IJERPH, MDPI, vol. 17(10), pages 1-17, May.
  12. Brian D. Segal & Thomas Braun & Richard Gonzalez & Michael R. Elliott, 2019. "Tests of Matrix Structure for Construct Validation," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 65-83, March.
  13. Maurizio Canavari & Andreas C. Drichoutis & Jayson L. Lusk & Rodolfo M. Nayga, Jr., 2018. "How to run an experimental auction: A review of recent advances," Working Papers 2018-5, Agricultural University of Athens, Department Of Agricultural Economics.
  14. Li, Yu & Gao, Xiangyun & An, Sufang & Zheng, Huiling & Wu, Tao, 2021. "Network approach to the dynamic transformation characteristics of the joint impacts of gold and oil on copper," Resources Policy, Elsevier, vol. 70(C).
  15. Segurado, Pedro & Gutiérrez-Cánovas, Cayetano & Ferreira, Teresa & Branco, Paulo, 2022. "Stressor gradient coverage affects interaction identification," Ecological Modelling, Elsevier, vol. 472(C).
  16. Woraphon Yamaka & Rangan Gupta & Sukrit Thongkairat & Paravee Maneejuk, 2023. "Structural and predictive analyses with a mixed copula‐based vector autoregression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 223-239, March.
  17. Jakub Bijak, 2019. "Editorial: P-values, theory, replicability, and rigour," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(32), pages 949-952.
  18. Chatelain, Jean-Bernard & Ralf, Kirsten, 2021. "Inference on time-invariant variables using panel data: A pretest estimator," Economic Modelling, Elsevier, vol. 97(C), pages 157-166.
  19. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
  20. Steckley, Andrew & Steckley, Noah, 2024. "Subtle Signs of Scribal Intent in the Voynich Manuscript," OSF Preprints syu3n_v1, Center for Open Science.
  21. Jack Fitzgerald, 2024. "Identifying the Impact of Hypothetical Stakes on Experimental Outcomes and Treatment Effects," Tinbergen Institute Discussion Papers 24-070/I, Tinbergen Institute.
  22. Anastasia Peshkovskaya & Tatiana Babkina & Mikhail Myagkov, 2018. "Social context reveals gender differences in cooperative behavior," Journal of Bioeconomics, Springer, vol. 20(2), pages 213-225, July.
  23. Gergely Ganics & Atsushi Inoue & Barbara Rossi, 2021. "Confidence Intervals for Bias and Size Distortion in IV and Local Projections-IV Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 307-324, January.
  24. Marco Colagrossi & Domenico Rossignoli & Mario A. Maggioni, 2017. "Does democracy cause growth? A meta-analysis perspective," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis1703, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
  25. Craig, Russell & Cox, Adam & Tourish, Dennis & Thorpe, Alistair, 2020. "Using retracted journal articles in psychology to understand research misconduct in the social sciences: What is to be done?," Research Policy, Elsevier, vol. 49(4).
  26. Uwe Hassler & Marc‐Oliver Pohle, 2022. "Unlucky Number 13? Manipulating Evidence Subject to Snooping," International Statistical Review, International Statistical Institute, vol. 90(2), pages 397-410, August.
  27. Steckley, Andrew & Steckley, Noah, 2024. "Subtle Signs of Scribal Intent in the Voynich Manuscript," OSF Preprints syu3n, Center for Open Science.
  28. Karl, Marion & Kock, Florian & Ritchie, Brent W. & Gauss, Jana, 2021. "Affective forecasting and travel decision-making: An investigation in times of a pandemic," Annals of Tourism Research, Elsevier, vol. 87(C).
  29. Jyotirmoy Sarkar, 2018. "Will P†Value Triumph over Abuses and Attacks?," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 7(4), pages 66-71, July.
  30. Anica Veronika Fietz & Sven Grüner, 2017. "Transparency systems: do businesses in North Rhine-Westphalia (Germany) regret the cancellation of the Smiley scheme?," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-10, December.
  31. Jens Rommel & Meike Weltin, 2021. "Is There a Cult of Statistical Significance in Agricultural Economics?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(3), pages 1176-1191, September.
  32. Kim, Jae H., 2017. "Stock returns and investors' mood: Good day sunshine or spurious correlation?," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 94-103.
  33. Gunter, Ulrich & Önder, Irem & Smeral, Egon, 2019. "Scientific value of econometric tourism demand studies," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
  34. Andrew Y. Chen, 2022. "Most claimed statistical findings in cross-sectional return predictability are likely true," Papers 2206.15365, arXiv.org, revised Jan 2025.
  35. Nambisan, Satish & Baron, Robert A., 2021. "On the costs of digital entrepreneurship: Role conflict, stress, and venture performance in digital platform-based ecosystems," Journal of Business Research, Elsevier, vol. 125(C), pages 520-532.
  36. Simon Berset & Martin Huber & Mark Schelker, 2023. "The fiscal response to revenue shocks," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(3), pages 814-848, June.
  37. Guo, Rui & Shamsi, Mohammad Haris & Sharifi, Mohsen & Saelens, Dirk, 2025. "Exploring uncertainty in district heat demand through a probabilistic building characterization approach," Applied Energy, Elsevier, vol. 377(PA).
  38. Douglas, Evan J. & Shepherd, Dean A. & Prentice, Catherine, 2020. "Using fuzzy-set qualitative comparative analysis for a finer-grained understanding of entrepreneurship," Journal of Business Venturing, Elsevier, vol. 35(1).
  39. Didier Sornette & Spencer Wheatley & Peter Cauwels, 2019. "The fair reward problem: the illusion of success and how to solve it," Papers 1902.04940, arXiv.org, revised Apr 2019.
  40. Nepp, Alexander & Okhrin, Ostap & Egorova, Julia & Dzhuraeva, Zarnigor & Zykov, Alexander, 2022. "What threatens stock markets more - The coronavirus or the hype around it?," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 519-539.
  41. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Sep 2023.
  42. Marcelino, C.G. & Leite, G.M.C. & Wanner, E.F. & Jiménez-Fernández, S. & Salcedo-Sanz, S., 2023. "Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm," Energy, Elsevier, vol. 266(C).
  43. Ben Moews & J. Michael Herrmann & Gbenga Ibikunle, 2018. "Lagged correlation-based deep learning for directional trend change prediction in financial time series," Papers 1811.11287, arXiv.org, revised Nov 2018.
  44. Oliver Schilke & Sheen S. Levine & Olenka Kacperczyk & Lynne G. Zucker, 2019. "Call for Papers-Special Issue on Experiments in Organizational Theory," Organization Science, INFORMS, vol. 30(1), pages 232-234, February.
  45. Hooks, D. & Davis, Z. & Agrawal, V. & Li, Z., 2022. "Exploring factors influencing technology adoption rate at the macro level: A predictive model," Technology in Society, Elsevier, vol. 68(C).
  46. Alex Coad & Jacob Rubæk Holm & Jackie Krafft & Francesco Quatraro, 2018. "Firm age and performance," Journal of Evolutionary Economics, Springer, vol. 28(1), pages 1-11, January.
  47. Heckelei, Thomas & Huettel, Silke & Odening, Martin & Rommel, Jens, 2021. "The replicability crisis and the p-value debate – what are the consequences for the agricultural and food economics community?," Discussion Papers 316369, University of Bonn, Institute for Food and Resource Economics.
  48. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
  49. Steven C. Salop, 2024. "The 2023 Merger Guidelines: A Post-Chicago and Neo-Brandeisian Integration," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 65(1), pages 79-128, August.
  50. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
  51. Bertoldi, Paolo & Mosconi, Rocco, 2020. "Do energy efficiency policies save energy? A new approach based on energy policy indicators (in the EU Member States)," Energy Policy, Elsevier, vol. 139(C).
  52. Francisco Javier Abarca-Alvarez & Francisco Sergio Campos-Sánchez & Fernando Osuna-Pérez, 2019. "Urban Shape and Built Density Metrics through the Analysis of European Urban Fabrics Using Artificial Intelligence," Sustainability, MDPI, vol. 11(23), pages 1-23, November.
  53. Hirschauer, Norbert & Grüner, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2020. "Can p-values be meaningfully interpreted without random sampling?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14, pages 71-91.
  54. Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2023. "Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1433-1476, April.
  55. Flaherty, Eoin & Sturm, Tristan & Farries, Elizabeth, 2022. "The conspiracy of Covid-19 and 5G: Spatial analysis fallacies in the age of data democratization," Social Science & Medicine, Elsevier, vol. 293(C).
  56. Bruns, Stephan B. & Asanov, Igor & Bode, Rasmus & Dunger, Melanie & Funk, Christoph & Hassan, Sherif M. & Hauschildt, Julia & Heinisch, Dominik & Kempa, Karol & König, Johannes & Lips, Johannes & Verb, 2019. "Reporting errors and biases in published empirical findings: Evidence from innovation research," Research Policy, Elsevier, vol. 48(9), pages 1-1.
  57. Konstantinos Bourazas & Guido Consonni & Laura Deldossi, 2024. "Bayesian sample size determination for detecting heterogeneity in multi-site replication studies," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(3), pages 697-716, September.
  58. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
  59. Beau Coker & Cynthia Rudin & Gary King, 2021. "A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results," Management Science, INFORMS, vol. 67(10), pages 6174-6197, October.
  60. Benkendorf, Donald J. & Schwartz, Samuel D. & Cutler, D. Richard & Hawkins, Charles P., 2023. "Correcting for the effects of class imbalance improves the performance of machine-learning based species distribution models," Ecological Modelling, Elsevier, vol. 483(C).
  61. Johannes Forkman & Julie Josse & Hans-Peter Piepho, 2019. "Hypothesis Tests for Principal Component Analysis When Variables are Standardized," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 289-308, June.
  62. Hirschauer, Norbert & Gruener, Sven & Mußhoff, Oliver & Becker, Claudia, 2019. "Economic experiments and inference," SocArXiv 67mws, Center for Open Science.
  63. Alberto Abadie, 2020. "Statistical Nonsignificance in Empirical Economics," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 193-208, June.
  64. Simon French, 2024. "Whose Judgement? Reflections on Elicitation in Bayesian Analysis," Decision Analysis, INFORMS, vol. 21(3), pages 143-159, September.
  65. Galvin, Ray & Martulli, Alessandro & Ruzzenenti, Franco, 2021. "Does power curb energy efficiency? Evidence from two decades of European truck tests," Energy, Elsevier, vol. 232(C).
  66. Hirschauer, Norbert & Grüner, Sven & Mußhoff, Oliver & Becker, Claudia, 2020. "Inference in economic experiments," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-14.
  67. Carrie Conaway & Dan Goldhaber, 2020. "Appropriate Standards of Evidence for Education Policy Decision Making," Education Finance and Policy, MIT Press, vol. 15(2), pages 383-396, Spring.
  68. David Spiegelhalter, 2017. "Trust in numbers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 948-965, October.
  69. Robert Rieg, 2018. "Tasks, interaction and role perception of management accountants: evidence from Germany," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 29(2), pages 183-220, August.
  70. Stephan B. Bruns & David I. Stern, 2019. "Lag length selection and p-hacking in Granger causality testing: prevalence and performance of meta-regression models," Empirical Economics, Springer, vol. 56(3), pages 797-830, March.
  71. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  72. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
  73. James Nicholson & Sean Mccusker, 2016. "Damaging the Case for Improving Social Science Methodology through Misrepresentation: Re-Asserting Confidence in Hypothesis Testing as a Valid Scientific Process," Sociological Research Online, , vol. 21(2), pages 136-147, May.
  74. Kiviet, Jan F., 2020. "Microeconometric dynamic panel data methods: Model specification and selection issues," Econometrics and Statistics, Elsevier, vol. 13(C), pages 16-45.
  75. Nick Hanley & Christopher Boyce & Mikołaj Czajkowski & Steve Tucker & Charles Noussair & Michael Townsend, 2017. "Sad or Happy? The Effects of Emotions on Stated Preferences for Environmental Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 821-846, December.
  76. Raymond, Christopher M. & Kenter, Jasper O., 2016. "Transcendental values and the valuation and management of ecosystem services," Ecosystem Services, Elsevier, vol. 21(PB), pages 241-257.
  77. Julia Roloff & Michael J. Zyphur, 2019. "Null Findings, Replications and Preregistered Studies in Business Ethics Research," Journal of Business Ethics, Springer, vol. 160(3), pages 609-619, December.
  78. Jae H. Kim & Philip I. Ji, 2024. "Testing for signal-to-noise ratio in linear regression: a test under large or massive sample," Review of Managerial Science, Springer, vol. 18(10), pages 3007-3024, October.
  79. Woodside, Arch G., 2020. "Interventions as experiments: Connecting the dots in forecasting and overcoming pandemics, global warming, corruption, civil rights violations, misogyny, income inequality, and guns," Journal of Business Research, Elsevier, vol. 117(C), pages 212-218.
  80. Doll, Monika, 2017. "Relative efficiency of confidence interval methods around effect sizes," FAU Discussion Papers in Economics 22/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  81. Johnstone, David, 2022. "Accounting research and the significance test crisis," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 89(C).
  82. Choi, Insu & Kim, Woo Chang, 2024. "Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques," International Review of Financial Analysis, Elsevier, vol. 94(C).
  83. Berset, Simon & Schelker, Mark, 2020. "Fiscal windfall curse," European Economic Review, Elsevier, vol. 130(C).
  84. Szoltysek, Mikolaj & Poniat, Radosław, 2019. "Historical family systems and lasting developmental trajectories in Europe: the power of the family?," SocArXiv ad7qr, Center for Open Science.
  85. Kim, Jae H. & Shamsuddin, Abul, 2023. "Stock market anomalies: An extreme bounds analysis," International Review of Financial Analysis, Elsevier, vol. 90(C).
  86. Lopez, Belen & Rangel, Celia & Fernández, Manuel, 2022. "The impact of corporate social responsibility strategy on the management and governance axis for sustainable growth," Journal of Business Research, Elsevier, vol. 150(C), pages 690-698.
  87. Fanelli, Daniele, 2022. "The "Tau" of Science - How to Measure, Study, and Integrate Quantitative and Qualitative Knowledge," MetaArXiv 67sak_v1, Center for Open Science.
  88. Michaelides, Michael, 2021. "Large sample size bias in empirical finance," Finance Research Letters, Elsevier, vol. 41(C).
  89. Inocencia M. Martínez-León & Isabel Olmedo-Cifuentes & Gary Davies, 2023. "The Virtuous Circle of Internal Corporate Reputation and Financial Performance," Corporate Reputation Review, Palgrave Macmillan, vol. 26(2), pages 97-110, May.
  90. Piendl, Raphael & Matteis, Tilman & Liedtke, Gernot, 2019. "A machine learning approach for the operationalization of latent classes in a discrete shipment size choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 149-161.
  91. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, March.
  92. Katzin, David & van Henten, Eldert J. & van Mourik, Simon, 2022. "Process-based greenhouse climate models: Genealogy, current status, and future directions," Agricultural Systems, Elsevier, vol. 198(C).
  93. Kelter, Riko, 2022. "Power analysis and type I and type II error rates of Bayesian nonparametric two-sample tests for location-shifts based on the Bayes factor under Cauchy priors," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
  94. Nicolas Vallois & Dorian Jullien, 2017. "Estimating Rationality in Economics: A History of Statistical Methods in Experimental Economics," Working Papers halshs-01651070, HAL.
  95. Scott, E. Marian, 2018. "The role of Statistics in the era of big data: Crucial, critical and under-valued," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 20-24.
  96. Kim, Dong-Min & Chin, Jun-Woo & Kim, Jae-Hyun & Lim, Myung-Seop, 2023. "Analytical temperature estimation process of the air supply system of the proton exchange membrane fuel cell stack in fuel cell electric vehicles," Energy, Elsevier, vol. 283(C).
  97. Xian Jin Xie, 2019. "Research Reproducibility and p-value Threshold," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 22(5), pages 16934-16936, November.
  98. Rigdon, Edward E., 2016. "Choosing PLS path modeling as analytical method in European management research: A realist perspective," European Management Journal, Elsevier, vol. 34(6), pages 598-605.
  99. Lawrence L. Kupper & Sandra L. Martin, 2022. "Replication study design: confidence intervals and commentary," Statistical Papers, Springer, vol. 63(5), pages 1577-1583, October.
  100. Dana Kušnírová & Oliver Bubelíny & Mária Ďurišová, 2024. "Value Management: Enterprises’ Interest in Stakeholders and Its Impact on Creating Sustainable Relationships with Suppliers and Buyers," Sustainability, MDPI, vol. 16(16), pages 1-17, August.
  101. Luo, Xing & Zhu, Xu & Lim, Eng Gee, 2019. "A parametric bootstrap algorithm for cluster number determination of load pattern categorization," Energy, Elsevier, vol. 180(C), pages 50-60.
  102. Jeremy Arkes, 2020. "Teaching Graduate (and Undergraduate) Econometrics: Some Sensible Shifts to Improve Efficiency, Effectiveness, and Usefulness," Econometrics, MDPI, vol. 8(3), pages 1-23, September.
  103. Anderson, Brian S. & Wennberg, Karl & McMullen, Jeffery S., 2019. "Editorial: Enhancing quantitative theory-testing entrepreneurship research," Journal of Business Venturing, Elsevier, vol. 34(5), pages 1-1.
  104. Xialong Ji & Andrew D. Gronewold & Houraa Daher & Richard B. Rood, 2019. "Modeling seasonal onset of coastal ice," Climatic Change, Springer, vol. 154(1), pages 125-141, May.
  105. Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2020. "Double blind vs. open review: an evolutionary game logit-simulating the behavior of authors and reviewers," Papers 2011.07797, arXiv.org.
  106. Yongli Liu & Jingli Chen & Shuai Wu & Zhizhong Liu & Hao Chao, 2018. "Incremental fuzzy C medoids clustering of time series data using dynamic time warping distance," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-25, May.
  107. Aalto, Eero & Gustafsson, Robin, 2020. "Innovation Promotion Rationales and Impacts – A Review," ETLA Reports 99, The Research Institute of the Finnish Economy.
  108. Rigdon, Edward E., 2023. "How improper dichotomization and the misrepresentation of uncertainty undermine social science research," Journal of Business Research, Elsevier, vol. 165(C).
  109. Korobilis, Dimitris, 2018. "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers 22666, University of Essex, Essex Business School.
  110. Ugofilippo Basellini, 2024. "Open science practices in demographic research: An appraisal," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(43), pages 1265-1280.
  111. Eugenio Melilli & Piero Veronese, 2024. "Confidence distributions and hypothesis testing," Statistical Papers, Springer, vol. 65(6), pages 3789-3820, August.
  112. Herman Carstens & Xiaohua Xia & Sarma Yadavalli, 2018. "Bayesian Energy Measurement and Verification Analysis," Energies, MDPI, vol. 11(2), pages 1-20, February.
  113. Sourav Medya & Mohammad Rasoolinejad & Yang Yang & Brian Uzzi, 2022. "An Exploratory Study of Stock Price Movements from Earnings Calls," Papers 2203.12460, arXiv.org.
  114. Vogel, Dominik & Jacobsen, Christian Bøtcher, 2021. "Nonresponse bias in public leadership research: An empirical assessment," SocArXiv xshdw_v1, Center for Open Science.
  115. D. Vélez & M. E. Pérez & L. R. Pericchi, 2022. "Increasing the replicability for linear models via adaptive significance levels," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(3), pages 771-789, September.
  116. Nosek, Brian A. & Ebersole, Charles R. & DeHaven, Alexander Carl & Mellor, David Thomas, 2018. "The Preregistration Revolution," OSF Preprints 2dxu5, Center for Open Science.
  117. Laxman, Daniel J. & Higginbotham, Brian J. & Bradford, Kay, 2019. "Predictors of attrition and attendance in a fatherhood education program," Children and Youth Services Review, Elsevier, vol. 103(C), pages 287-297.
  118. Schaub, Sergei & Pfaff, Alexander & Bonev, Petyo, 2025. "Biodiversity and the Design of Result-based Payments: Evidence from Germany," Economics Working Paper Series 2502, University of St. Gallen, School of Economics and Political Science.
  119. Li, Xinyi & Yao, Runming & Li, Qin & Ding, Yong & Li, Baizhan, 2018. "An object-oriented energy benchmark for the evaluation of the office building stock," Utilities Policy, Elsevier, vol. 51(C), pages 1-11.
  120. Roberta Paroli & Guido Consonni, 2020. "Objective Bayesian comparison of order-constrained models in contingency tables," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 139-165, March.
  121. Clark, Duncan A. & Macinko, James & Porfiri, Maurizio, 2022. "What factors drive state firearm law adoption? An application of exponential-family random graph models," Social Science & Medicine, Elsevier, vol. 305(C).
  122. Haas Franz, 2016. "Reappraisal of Austrian Business Confidence Survey 2015 for Mainland China," Proceedings of FIKUSZ 2016, in: Regina Zsuzsánna Reicher (ed.),Proceedings of FIKUSZ '16, pages 57-64, Óbuda University, Keleti Faculty of Business and Management.
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