Relevant bibliographies by topics / Null hypotheses

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  2. Dissertations / Theses
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  4. Book chapters
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Academic literature on the topic 'Null hypotheses'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Null hypotheses"

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VALEN, L. M. VAN. "Null hypotheses and prediction." Nature 314, no. 6008 (1985): 230. http://dx.doi.org/10.1038/314230b0.

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Church, Samuel H., and Cassandra G. Extavour. "Null hypotheses for developmental evolution." Development 147, no. 8 (2020): dev178004. http://dx.doi.org/10.1242/dev.178004.

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Futschik, Andreas, Thomas Taus, and Sonja Zehetmayer. "An omnibus test for the global null hypothesis." Statistical Methods in Medical Research 28, no. 8 (2018): 2292–304. http://dx.doi.org/10.1177/0962280218768326.

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Global hypothesis tests are a useful tool in the context of clinical trials, genetic studies, or meta-analyses, when researchers are not interested in testing individual hypotheses, but in testing whether none of the hypotheses is false. There are several possibilities how to test the global null hypothesis when the individual null hypotheses are independent. If it is assumed that many of the individual null hypotheses are false, combination tests have been recommended to maximize power. If, however, it is assumed that only one or a few null hypotheses are false, global tests based on individu
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Stensrud, Mats J., Kjetil Røysland, and Pål C. Ryalen. "On null hypotheses in survival analysis." Biometrics 75, no. 4 (2019): 1276–87. http://dx.doi.org/10.1111/biom.13102.

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Brown, Lawrence D., and John I. Marden. "Complete Class Results for Hypothesis Testing Problems with Simple Null Hypotheses." Annals of Statistics 17, no. 1 (1989): 209–35. http://dx.doi.org/10.1214/aos/1176347012.

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Hwang, Yi-Ting, Hsun-Chih Kuo, Chun-Chao Wang, and Meng Feng Lee. "Estimating the number of true null hypotheses in multiple hypothesis testing." Statistics and Computing 24, no. 3 (2013): 399–416. http://dx.doi.org/10.1007/s11222-013-9377-5.

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Brown, Michael K., and Mark J. Gibbons. "Null models for null hypotheses in taxonomy: a test using Scyphozoa." Biological Journal of the Linnean Society 134, no. 1 (2021): 240–45. http://dx.doi.org/10.1093/biolinnean/blab070.

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Abstract Although molecular tools are becoming more important in the delineation of scyphozoan species there is, perforce, a need to substantiate new species definitions using morphological data. Access to type material is often difficult and detailed, raw morphometric data are rarely provided in older type descriptions, which makes comparisons of new with old challenging. Here, we use null models based on simple measures of central tendency to generate morphometric data sets for four species of Aurelia, three species of Chrysaora and two species of Crambionella. The results of PERMANOVA and C
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Good, I. J. "C420. The existence of sharp null hypotheses." Journal of Statistical Computation and Simulation 49, no. 3-4 (1994): 241–42. http://dx.doi.org/10.1080/00949659408811587.

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Sellke, Thomas, M. J. Bayarri та James O. Berger. "Calibration ofρValues for Testing Precise Null Hypotheses". American Statistician 55, № 1 (2001): 62–71. http://dx.doi.org/10.1198/000313001300339950.

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O'QUIGLEY, J., and C. E. BAUDOIN. "Null hypotheses and the misuse of statistics." Nature 316, no. 6029 (1985): 582. http://dx.doi.org/10.1038/316582d0.

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Dissertations / Theses on the topic "Null hypotheses"

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Blanchard, Gilles, Sylvain Delattre, and Étienne Roquain. "Testing over a continuum of null hypotheses." Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/5687/.

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We introduce a theoretical framework for performing statistical hypothesis testing simultaneously over a fairly general, possibly uncountably infinite, set of null hypotheses. This extends the standard statistical setting for multiple hypotheses testing, which is restricted to a finite set. This work is motivated by numerous modern applications where the observed signal is modeled by a stochastic process over a continuum. As a measure of type I error, we extend the concept of false discovery rate (FDR) to this setting. The FDR is defined as the average ratio of the measure of two random sets,
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Qian, Yi. "Topics in multiple hypotheses testing." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4754.

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It is common to test many hypotheses simultaneously in the application of statistics. The probability of making a false discovery grows with the number of statistical tests performed. When all the null hypotheses are true, and the test statistics are indepen- dent and continuous, the error rates from the family wise error rate (FWER)- and the false discovery rate (FDR)-controlling procedures are equal to the nominal level. When some of the null hypotheses are not true, both procedures are conservative. In the first part of this study, we review the background of the problem and propose methods
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Oyeniran, Oluyemi. "Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466358483.

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Pavlicova, Martina. "Thresholding FMRI images." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1097769474.

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Bancroft, Timothy J. "Estimating the number of true null hypotheses and the false discovery rate from multiple discrete non-uniform permutation p-values." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3389284.

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Flanagan, Victoria C. "If Not the Body; Null Hypothesis: Essays." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5409.

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If Not the Body is a collection of poems centered around the physical, female body—the body in peril, the body as continuation, the body as revelation, the body as variable. Tracing both a literal and metaphorical lineage over five sections, these poems reckon with a personal, familial, and regional history in an attempt to answer the collections’ repeated questions: “What am I made of?” and “If illness uglies the world, / what redeems it?” Drawing from personal experience, family history, and reckoning with mathematic, logical, and temporal limitations, Null Hypothesis: Essays focuses on wh
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Denis, Daniel J. "Null hypothesis significance testing, history, criticisms and alternatives." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ59127.pdf.

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Laird, Daniel T. "Analysis of Covariance with Linear Regression Error Model on Antenna Control Unit Tracking." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596393.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV<br>Over the past several years DoD imposed constraints on test deliverables, requiring objective measures of test results, i.e., statistically defensible test and evaluation (SDT&E) methods and results. These constraints force the tester to employ statistical hypotheses, analyses and perhaps modeling to assess test results objectively, i.e., based on statistical metrics, probability of confidence and
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Taneja, Atrayee. "New approaches to testing a composite null hypothesis for the two sample binomial problem /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487323583622319.

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Choi, Chi-Young. "Panel unit root tests under the null hypothesis of stationarity and confirmatory analysis with applications to PPP and the convergence hypothesis." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1271712565.

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Books on the topic "Null hypotheses"

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Tamm, Michael. Theory-hypothesis-null. Āśrama Rāma-Taṃ-Oṃ, 1988.

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King, D. E. C. Misuse of the null hypothesis in data reporting and interpretation: Report. Laboratory Services Branch, Ontario Ministry of the Environment, 1992.

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Krieger, Martin H. Segmentation and filtering into neighborhoods as processes of percolation and diffusion: Stochastic processes (randomness) as the null hypothesis. School of Urban and Regional Planning, University of Southern California, 1991.

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Miksza, Peter, and Kenneth Elpus. Inferential Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0005.

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Researchers often employ statistical techniques to test hypotheses and to express the relative certainty they have when making a claim about how statistics derived from their sample data might be representative of population parameters. This chapter illustrates the logic underlying inferential statistical tests. Inferential analyses involves a set of tools that music education researchers can use when posing scientific questions and seeking to refute their hypotheses. The chapter describes techniques that can be used for testing hypotheses and estimating population parameters on the basis of s
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Haig, Brian D. Tests of Statistical Significance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0003.

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Chapter 3 provides a brief overview of null hypothesis significance testing and points out its primary defects. It then outlines the neo-Fisherian account of tests of statistical significance, along with a second option contained in the philosophy of statistics known as the error-statistical philosophy, both of which are defensible. Tests of statistical significance are the most widely used means for evaluating hypotheses and theories in psychology. A massive critical literature has developed in psychology, and the behavioral sciences more generally, regarding the worth of these tests. The cha
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Cheng, Russell. Bootstrap Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0004.

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Parametric bootstrapping (BS) provides an attractive alternative, both theoretically and numerically, to asymptotic theory for estimating sampling distributions. This chapter summarizes its use not only for calculating confidence intervals for estimated parameters and functions of parameters, but also to obtain log-likelihood-based confidence regions from which confidence bands for cumulative distribution and regression functions can be obtained. All such BS calculations are very easy to implement. Details are also given for calculating critical values of EDF statistics used in goodness-of-fit
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Ruda, Marta. Syntactic representation of null arguments. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815853.003.0010.

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Focusing on definite-argument drop, this chapter puts forward the hypothesis that null arguments are minimally represented as [nPn] and maximally as a fully-fledged pronoun ([DP D [PersP Pers [NumP Num [nPn]]]] or [PersP Pers [NumP Num [nPn]]]). The (un)availability of such arguments in a language is a consequence of independent features of its grammar: the lexical specification of its nominalizing n heads (esp. their association with phonetic material) and the avaialbility of post-syntactic type-shifting operations (esp. ι‎). The working of this approach is illustrated mostly with data from E
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Coolen, Ton, Alessia Annibale, and Ekaterina Roberts. Generating Random Networks and Graphs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.001.0001.

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This book supports researchers who need to generate random networks, or who are interested in the theoretical study of random graphs. The coverage includes exponential random graphs (where the targeted probability of each network appearing in the ensemble is specified), growth algorithms (i.e. preferential attachment and the stub-joining configuration model), special constructions (e.g. geometric graphs and Watts Strogatz models) and graphs on structured spaces (e.g. multiplex networks). The presentation aims to be a complete starting point, including details of both theory and implementation,
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McCleary, Richard, David McDowall, and Bradley J. Bartos. Statistical Conclusion Validity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0006.

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Chapter 6 addresses the sub-category of internal validity defined by Shadish et al., as statistical conclusion validity, or “validity of inferences about the correlation (covariance) between treatment and outcome.” The common threats to statistical conclusion validity can arise, or become plausible through either model misspecification or through hypothesis testing. The risk of a serious model misspecification is inversely proportional to the length of the time series, for example, and so is the risk of mistating the Type I and Type II error rates. Threats to statistical conclusion validity ar
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Cheng, Russell. Indeterminacy. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0014.

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This chapter discusses models like the exponential regression model y = a[1− exp(− bx)] where if a = 0 then b is an indeterminate, non-identifiable parameter, as it vanishes from the model. The hypothesis test that H0 : a = 0 versus H1 : a ≠ 0 is then non-standard. The well-known Davies test is explained. This uses a portmanteau test statistic T that is a functional of Sn(b), L&lt; b&lt; U, where Sn(b) is a regular test statistic of the null hypothesis a = 0 versus the alternative a ≠ 0 with b fixed. The null distribution of T is not usually easy to obtain. One can instead just test if a = 0 u
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Book chapters on the topic "Null hypotheses"

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Wood, Michael. "Checking if Anything is Going on: Tests of Null Hypotheses." In Making Sense of Statistics. Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-0-230-80278-0_8.

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Vaninsky, Alexander. "Bridging Calculus and Statistics: Null - Hypotheses Underlain by Functional Equations." In Advanced Techniques in Computing Sciences and Software Engineering. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3660-5_1.

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Booth, Tom, Alex Doumas, and Aja Louise Murray. "Null Hypothesis." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1335.

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Gooch, Jan W. "Null Hypothesis." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15304.

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Booth, Tom, Alex Doumas, and Aja Louise Murray. "Null Hypothesis." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_1335-1.

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Piedmont, Ralph L. "Null Hypothesis." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1972.

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Tiro, Jasmin, Simon J. Craddock Lee, Steven E. Lipshultz, et al. "Null Hypothesis." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1039.

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Troicki, Filip T., Filip T. Troicki, Filip T. Troicki, et al. "Null Hypothesis." In Encyclopedia of Radiation Oncology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-85516-3_646.

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Tamhane, Ajit C., and Jiaxiao Shi. "Parametric Mixture Models for Estimating the Proportion of True Null Hypotheses and Adaptive Control of FDR." In Institute of Mathematical Statistics Lecture Notes - Monograph Series. Institute of Mathematical Statistics, 2009. http://dx.doi.org/10.1214/09-lnms5718.

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Mellenbergh, Gideon J. "Null Hypothesis Testing." In Counteracting Methodological Errors in Behavioral Research. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12272-0_12.

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Conference papers on the topic "Null hypotheses"

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Hofmann, Marko A. "Null hypothesis significance testing in simulation." In 2016 Winter Simulation Conference (WSC). IEEE, 2016. http://dx.doi.org/10.1109/wsc.2016.7822118.

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Jung, Byung C., Byeng D. Youn, and Ji Sun Kim. "A Virtual Testing Framework for Engineering Product Development." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70530.

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Virtual testing is a new engineering development trend to design, evaluate, and test new engineered products. This research proposes a virtual testing framework for new product development using three successive steps: (i) statistical model calibration, (ii) hypothesis test for validity check and (iii) virtual qualification. Statistical model calibration first improves the predictive capability of a computational model over a calibration domain. Next, the hypothesis test is performed under limited observed data to see if a calibrated model is sufficiently predictive for virtual testing of a ne
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Lin, Cindy Xide, Ming Ji, Marina Danilevsky, and Jiawei Han. "Efficient mining of correlated sequential patterns based on null hypothesis." In the 2012 international workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2389656.2389660.

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Solewicz, Yosef A., Michael Jessen, and David van der Vloed. "Null-Hypothesis LLR: A Proposal for Forensic Automatic Speaker Recognition." In Interspeech 2017. ISCA, 2017. http://dx.doi.org/10.21437/interspeech.2017-1023.

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Kraif, Olivier, and Boxing Chen. "Combining clues for lexical level aligning using the null hypothesis approach." In the 20th international conference. Association for Computational Linguistics, 2004. http://dx.doi.org/10.3115/1220355.1220538.

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Khalil, Mohammad, Erik M. Brubaker, Nathan R. Hilton, Matthew A. Kupinski, Christopher J. MacGahan, and Peter A. Marleau. "Null-hypothesis testing using distance metrics for verification of arms-control treaties." In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069935.

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Zdražil, Pavel. "Testování hypotézy konvergence v regionu střední Evropy pomocí kointegrace." In XXIV. mezinárodního kolokvia o regionálních vědách. Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.p210-9896-2021-10.

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The issue of regional disparities development is usually examined only in terms of beta- and sigma-convergence. To extend the discussion, therefore, it is needed to use approaches based on completely different principles, which are not burden with always the same methodological limits. In this context, the aim of this contribution is to apply the cointegration approach to assess the development of regional disparities in economic performance and income in Central Europe. On the sample of 62 regions in 2004-2018, this contribution applies the disparity evaluation method based on the Pesaran's p
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Moran, Alex. "PWE-040 Microscopic colitis and proton pump inhibitors – use of the null hypothesis." In British Society of Gastroenterology, Annual General Meeting, 4–7 June 2018, Abstracts. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2018. http://dx.doi.org/10.1136/gutjnl-2018-bsgabstracts.172.

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Heliodoro, Paula, Rui Dias, and Paulo Alexandre. "FINANCIAL CONTAGION BETWEEN THE US AND EMERGING MARKETS: COVID-19 PANDEMIC CASE." In 4th International Scientific Conference – EMAN 2020 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/eman.s.p.2020.1.

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To realise how crises are disseminated is relevant for policy makers and regulators in order to take appropriate measures to prevent or contain the propagation of crises. This study aims to analysis the financial contagion in the six main markets of Latin America (Argentina, Brazil, Chile, Colombia, Mexico and Peru) and the USA, in the period 2015-2020. Different approaches have been undertaken to carry out this analysis in order to consider the following research question, namely whether: (i) the global pandemic covid19 has accentuated the contagion between Latin American financial markets an
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Stamper, Trevor I. "The search for a null hypothesis in vertebrate decomposition: How should insect species be included?" In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.114871.

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Reports on the topic "Null hypotheses"

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Velsko, S. Null Hypothesis Significance Testing for Trace Chemical Weapon Analyte Detection. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1059082.

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