Academic literature on the topic 'Standard deviation'

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Journal articles on the topic "Standard deviation"

1

Holyoake, Dean, Brid Hehir, and Chris Buswell. "Standard deviation." Nursing Standard 13, no. 32 (April 28, 1999): 22–23. http://dx.doi.org/10.7748/ns.13.32.22.s43.

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Leonidas, J. C. "Standard deviation vs. standard error." Journal of Ultrasound in Medicine 5, no. 5 (May 1986): 294. http://dx.doi.org/10.7863/jum.1986.5.5.294.

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Sedgwick, P. "Standard deviation versus standard error." BMJ 343, dec13 3 (December 13, 2011): d8010. http://dx.doi.org/10.1136/bmj.d8010.

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Hoffman, Julien I. E. "Standard Error or Standard Deviation?" Pediatric Cardiology 36, no. 5 (April 2, 2015): 1105–6. http://dx.doi.org/10.1007/s00246-015-1166-9.

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Hanchett, Marilyn. "Understanding Standard Deviation." Journal of the Association for Vascular Access 9, no. 3 (September 1, 2004): 164–65. http://dx.doi.org/10.2309/1552-8855-9.3.164.

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BOYD, A. V. "The Standard Deviation and Absolute Deviations from the Mean." Teaching Statistics 7, no. 3 (September 1985): 78–81. http://dx.doi.org/10.1111/j.1467-9639.1985.tb00590.x.

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Sharma, SR, and Ravi Datt. "SOME ELEMENTARY INEQUALITIES BETWEEN MEAN AND STANDARD DEVIATION." Mathematical Journal of Interdisciplinary Sciences 4, no. 1 (September 1, 2015): 23–28. http://dx.doi.org/10.15415/mjis.2015.41003.

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Takeishi, S., and T. Inoue. "IDF21-0083 Standard deviation." Diabetes Research and Clinical Practice 186 (April 2022): 109311. http://dx.doi.org/10.1016/j.diabres.2022.109311.

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Duffield, Timothy J., S. Camille Peres, William Amonette, and Paul Ritchey. "Standard Deviation of sEMG." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, no. 1 (September 2013): 1400–1404. http://dx.doi.org/10.1177/1541931213571313.

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Edelmann, Dominic, Donald Richards, and Daniel Vogel. "The distance standard deviation." Annals of Statistics 48, no. 6 (December 2020): 3395–416. http://dx.doi.org/10.1214/19-aos1935.

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Dissertations / Theses on the topic "Standard deviation"

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Lima, Mariana Braga de. "Can deviation from standard beauty become appealing?: an age perspective." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/14589.

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When exploring new perspectives on the impact of non-idealized vs. idealized body image in advertising, studies have focused mainly on body size, i.e., thin vs. heavy (Antioco et al., 2012; Smeesters & Mandel, 2006). Age remains largely unexplored, and the vast majority of ads in the market depict young models. The purpose of this research is therefore to investigate which images in advertisements – young or mature models – are more persuasive for older women (40+ years old). In this investigation, two studies were conducted. The first part was an exploratory analysis with a qualitative approach, which in turn helped to formulate the hypothesis tested in the subsequent experiment. The results of the in-depth interviews suggested a conflict over notions of imprisonment (need to follow beauty standards) and freedom (wish to deviate). The results of the experiment showed essentially that among older consumers, ads portraying older models were as persuasive as ads portraying younger models. Limitations and future research are discussed.
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Bergstrom, Tom, and Patrik Carlsson. "Diversification Attributes of Dutch REITs During Recessions:Return, Standard Deviation and Liquidity Characteristics." Thesis, KTH, Fastigheter och byggande, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277894.

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The objective of this thesis is to determine the performance of Dutch REITs and liquidity aspects during recessions and economic upswings as well as correlation with other asset classes to gain further knowledge in the field ofreal estate investment and asset performance during certain time periods. This is achieved through a quantitative analysis of historical daily returns, standard deviation and transaction volume of shares regarding REITs and other assets that usually pertain to an investor’s portfolio. The analysis covers the time-period just prior to the global financial crisis up until the beginning of the financial crisis caused by Covid-19. Analyzed data display some correlation between REITs and other assets. However, the data still implies some diversification benefits ofincorporating REITs in a portfolio during all economic states through the time periods with both the objective tominimize risk i.e. standard deviation, and to maximize return. The liquidity results on offset-time efficiency is comparable with other assets stock, which suggests that REITs are as liquid as other stock and thus is more liquid than direct real estate investments. In conclusion the data does support some diversification benefits of including Dutch REITs in a Netherlands-based investment portfolio. However, to what extent can not be determined, in part because of individual investors preferences, beliefs, and behavior, but also because of additional factors, such as dividends, that affect the value of REITs to an actual investor.
Syftet med arbetet är att fastställa Nederländska REITs prestanda och likviditet under lågkonjunkturer och ekonomiska uppgångar samt korrelationen med andra tillgångsklasser för att få ytterligare kunskap inom området fastighetsinvesteringar och investeringstillgångars prestanda under vissa tidsperioder. Detta uppnås genom en kvantitativ analys av historisk marknadsutveckling, standardavvikelse samt transaktionsvolym av antalet aktier. Det är REITs tillsammans med tillgångar som vanligtvis hänför sig till en investerares portfölj som har undersökts. Analysen behandlar ett tidsspann från perioden strax innan finanskrisen 2008 fram till början av den finansiellakrisen orsakad av Covid-19. Analyserad data visar viss korrelation mellan REITs och de andra tillgångarna, men innebär fortfarande vissa fördelar med att inkludera REITs i en portfölj under samtliga ekonomiska tillstånd under samtliga tidsperioderna. Både avseende syftet att minimera risken, som i detta fall utgörs av standardavvikelse,samt för att maximera avkastningen. Likviditetsstudien visar att avyttringshastigheten är jämförbar med andra aktietillgångar, vilket antyder att REIT är lika likvida som andra aktier och därmed är mer likvida än direkta fastighetsinvesteringar. Sammanfattningsvis stödjer resultaten vissa diversifikationsfördelar med att inkludera Nederländska REITs i en Nederländskt baserad investeringsportfölj. Men i vilken utsträckning kan inte fastställas,delvis på grund av enskilda investerares preferenser, övertygelser och beteende, men också på grund av ytterligare faktorer, såsom utdelning, som påverkar värdet av REIT till en faktisk investerare.
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Rickardsson, Elin. "Calculated deviation : A case study at Arkivator." Thesis, University of Skövde, School of Technology and Society, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-3176.

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En kalkylavvikelse kan uppstå vid jämförelse mellan förkalkylen och efterkalkylen på en order. Detta examensarbetet avser att undersöka vilka orsaker som kan ligga bakom en kalkylavvikelse. I samband med examensarbetet har en fallstudie utförts på Arkivator i Falköping, där en avvikelseanalys har genomförts på två av deras tillverkningsordrar. Den insamlingsmetod som har använts i studien är personliga intervjuer med ekonomichefen och produktionscontrollern på företaget. De slutsatser som kunde dras av studien var att det förekommer flertalet olika orsaker till att en kalkylavvikelse uppstår. De huvudsakliga orsakerna till kalkylavvikelserna på Arkivator var att en produkt fick kasseras under produktionen och att en produktionsgrupp troligtvis glömt att avrapportera när de färdigställt ordern. För att i framtiden kunna upprätta bättre för- och efterkalkyler är det viktigt att följa upp de kalkylavvikelser som har uppstått och dra lärdom av dessa.


A calculation discrepancy might arise from the comparison between preliminary calculations and post-costing of an order. This essay intends to explore the reasons behind calculated deviations. In connection with the thesis is a case study conducted at Arkivator in Falköping, where a deviation analysis carried out on two of their manufacturing orders. The method thats used for the collection is personal interviews with the treasurer and the production controller of the company. The conclusions from the study was that there are several different reasons why a calculation difference arises. The main reasons for the differences at Arkivator was that one product was discarded during the production and that a production team probably forgot to report when thy completed the order. Whereas, in order to be able to establish better preliminary- and post-calculations, it is important to follow up the calculation differences that have arisen and take knowledge of them.

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Jones, G. J. "A study of the surface finish produced by grinding." Thesis, Brunel University, 1985. http://bura.brunel.ac.uk/handle/2438/4893.

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A survey of the literature of grinding and surface texture shows the influence of dressing and wear on surfaces involved in the process and the advantages of stylus profilometry for data collection from both grinding wheels and ground surfaces. Statistical analysis is favoured for surface profile characterization and, of the various parameters used, power spectral density alone offers some prospect of effective comparison between these surfaces. Work on grinding with single crystals of natural corundum was eventually discontinued in favour of experiments with conventional bonded grinding wheels subjected to a dressing operation and some wear in grinding steel surfaces. Statistical parameters representing the surfaces are computed using data obtained from profilograms. Results in terms of power spectral density are presented showing progressive improvement following upon developments in apparatus and methods which facilitated the use of larger surface profile samples. Transfer functions are used to relate power spectra representing corresponding pairs of surfaces. The significance of power spectral density applied to surface profile characterization is discussed and, in this context, it is suggested that these should be described as variance spectra. Attention is drawn to certain disadvantages of variance spectra applied to grinding wheel and ground surface profiles. Methods designed to improve presentation of variance spectra lead to development of a proposed new and more suitable spectrum in which density of standard deviation of surface profile ordinates with respect to frequency is plotted against frequency. Transfer functions calculated from related pairs of these standard deviation spectra show a strong linear correlation with frequency and offer prospects of convenient comparison between the profiles of the various surfaces involved in grinding.
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Ford, Anna. "Efficacy of change in body mass index standard deviation score for improving the cardiometabolic status of children and adolescents with obesity." Thesis, University of Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500398.

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Bencová, Monika. "Využití controllingu v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417395.

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The purpose of the thesis is to describe controlling and its function in a real company. Focus is specifically on the cost of imbalances and the analysis of their origin. The theoretical part serves as a basis for understanding the real processes in a company, followed by their evaluation and proposals for improvements in the scope of cost management.
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Schneider, Harald Jörn, Bernhard Saller, Jens Klotsche, Winfried März, Wolfgang Erwa, Hans-Ulrich Wittchen, and Günter Karl Stalla. "Opposite associations of age-dependent insulin-like growth factor-I standard deviation scores with nutritional state in normal weight and obese subjects." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-100946.

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Objective: Insulin-like growth factor-I (IGF-I) has been suggested to be a prognostic marker for the development of cancer and, more recently, cardiovascular disease. These diseases are closely linked to obesity, but reports of the association of IGF-I with measures of obesity are divergent. In this study, we assessed the association of age-dependent IGF-I standard deviation scores with body mass index (BMI) and intra-abdominal fat accumulation in a large population. Design: A cross-sectional, epidemiological study. Methods: IGF-I levels were measured with an automated chemiluminescence assay system in 6282 patients from the DETECT study. Weight, height, and waist and hip circumference were measured according to the written instructions. Standard deviation scores (SDS), correcting IGF-I levels for age, were calculated and were used for further analyses. Results: An inverse U-shaped association of IGF-I SDS with BMI, waist circumference, and the ratio of waist circumference to height was found. BMI was positively associated with IGF-I SDS in normal weight subjects, and negatively associated in obese subjects. The highest mean IGF-I SDS were seen at a BMI of 22.5–25 kg/m2 in men (+0.08), and at a BMI of 27.5–30 kg/m2 in women (+0.21). Multiple linear regression models, controlling for different diseases, medications and risk conditions, revealed a significant negative association of BMI with IGF-I SDS. BMI contributed most to the additional explained variance to the other health conditions. Conclusions: IGF-I standard deviation scores are decreased in obesity and underweight subjects. These interactions should be taken into account when analyzing the association of IGF-I with diseases and risk conditions.
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Manseck, Andreas, Christian Pilarsky, Stefan E. Froschermaier, Mario Menschikowski, and Manfred P. Wirth. "Diagnostic Significance of Prostate-Specific Antigen Velocity at Intermediate PSA Serum Levels in Relation to the Standard Deviation of Different Test Systems." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-133947.

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Serial prostate-specific antigen (PSA) measurements (PSA velocity) as an additional instrument to detect prostatic cancer was introduced in 1992. It has previously been reported that PSA increase per year differed in the last 5 years prior to diagnosis in patients with benign prostatic hyperplasia (0.18 ng/ml/year), locally confined (0.75 ng/ml/year) and metastasized (4.4 ng/ml/year) cancer of the prostate (CaP) in contrast to healthy men (0.04 ng/ml/year). The ability of PSA velocity to detect organ-confined CaP in patients with intermediate PSA serum values depends therefore on a reliable and reproducible PSA result. The present study comprised 85 men with PSA values between 3 and 8 ng/ml (Abbott IMx). PSA measurements were repeated with Abbott IMx (n = 85 patients) and Hybritech Tandem-E (n = 59 patients) assays. The PSA serum values differed from one examination to the other from 0.02 to 2.74 ng/ml with the Abbott IMx. Standard deviation amounted to 0.35 ng/ml with the Abbott IMx PSA assay. Using the Hybritech Tandem-E assay, mean standard deviation was 1.15 ng/ml and therefore higher than with the Abbott IMx assay. The difference from one test to the other ranged from 0.05 to 4.05 ng/ml with the Hybritech Tandem-E. Using the Abbott IMx assay, 10.6% of all repeat measurements exceeded 1 ng/ml whereas in the Hybritech Tandem-E assay 62.7% of the second measurements differed >1 ng/ml from the first PSA result. An increase in PSA serum values may therefore be due to intratest variation, physiological day-to-day variation as well as prostatic disease. It is important to notice that the intra-assay variation may be greater than the PSA increase per year in a patient with CaP. Therefore, PSA velocity seems to be of limited value
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich
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Schneider, Harald Jörn, Bernhard Saller, Jens Klotsche, Winfried März, Wolfgang Erwa, Hans-Ulrich Wittchen, and Günter Karl Stalla. "Opposite associations of age-dependent insulin-like growth factor-I standard deviation scores with nutritional state in normal weight and obese subjects." BioScientifica, 2006. https://tud.qucosa.de/id/qucosa%3A26325.

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Objective: Insulin-like growth factor-I (IGF-I) has been suggested to be a prognostic marker for the development of cancer and, more recently, cardiovascular disease. These diseases are closely linked to obesity, but reports of the association of IGF-I with measures of obesity are divergent. In this study, we assessed the association of age-dependent IGF-I standard deviation scores with body mass index (BMI) and intra-abdominal fat accumulation in a large population. Design: A cross-sectional, epidemiological study. Methods: IGF-I levels were measured with an automated chemiluminescence assay system in 6282 patients from the DETECT study. Weight, height, and waist and hip circumference were measured according to the written instructions. Standard deviation scores (SDS), correcting IGF-I levels for age, were calculated and were used for further analyses. Results: An inverse U-shaped association of IGF-I SDS with BMI, waist circumference, and the ratio of waist circumference to height was found. BMI was positively associated with IGF-I SDS in normal weight subjects, and negatively associated in obese subjects. The highest mean IGF-I SDS were seen at a BMI of 22.5–25 kg/m2 in men (+0.08), and at a BMI of 27.5–30 kg/m2 in women (+0.21). Multiple linear regression models, controlling for different diseases, medications and risk conditions, revealed a significant negative association of BMI with IGF-I SDS. BMI contributed most to the additional explained variance to the other health conditions. Conclusions: IGF-I standard deviation scores are decreased in obesity and underweight subjects. These interactions should be taken into account when analyzing the association of IGF-I with diseases and risk conditions.
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Manseck, Andreas, Christian Pilarsky, Stefan E. Froschermaier, Mario Menschikowski, and Manfred P. Wirth. "Diagnostic Significance of Prostate-Specific Antigen Velocity at Intermediate PSA Serum Levels in Relation to the Standard Deviation of Different Test Systems." Karger, 1998. https://tud.qucosa.de/id/qucosa%3A27551.

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Serial prostate-specific antigen (PSA) measurements (PSA velocity) as an additional instrument to detect prostatic cancer was introduced in 1992. It has previously been reported that PSA increase per year differed in the last 5 years prior to diagnosis in patients with benign prostatic hyperplasia (0.18 ng/ml/year), locally confined (0.75 ng/ml/year) and metastasized (4.4 ng/ml/year) cancer of the prostate (CaP) in contrast to healthy men (0.04 ng/ml/year). The ability of PSA velocity to detect organ-confined CaP in patients with intermediate PSA serum values depends therefore on a reliable and reproducible PSA result. The present study comprised 85 men with PSA values between 3 and 8 ng/ml (Abbott IMx). PSA measurements were repeated with Abbott IMx (n = 85 patients) and Hybritech Tandem-E (n = 59 patients) assays. The PSA serum values differed from one examination to the other from 0.02 to 2.74 ng/ml with the Abbott IMx. Standard deviation amounted to 0.35 ng/ml with the Abbott IMx PSA assay. Using the Hybritech Tandem-E assay, mean standard deviation was 1.15 ng/ml and therefore higher than with the Abbott IMx assay. The difference from one test to the other ranged from 0.05 to 4.05 ng/ml with the Hybritech Tandem-E. Using the Abbott IMx assay, 10.6% of all repeat measurements exceeded 1 ng/ml whereas in the Hybritech Tandem-E assay 62.7% of the second measurements differed >1 ng/ml from the first PSA result. An increase in PSA serum values may therefore be due to intratest variation, physiological day-to-day variation as well as prostatic disease. It is important to notice that the intra-assay variation may be greater than the PSA increase per year in a patient with CaP. Therefore, PSA velocity seems to be of limited value.
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
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Books on the topic "Standard deviation"

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Standard deviations: Flawed assumptions, tortured data and other ways to lie with statistics. London: Duckworth Overlook, 2014.

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Sinclair, Margaret. How to get an A in-- statistics & data analysis: Mean, median & mode, standard deviation, binomial distribution. Toronto: Coles Pub., 1998.

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Lottman, B. Evaluation of the MV (CAPON) coherent Doppler lidar velocity estimator. MSFC, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1997.

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Standard deviations: Chance and the modern British novel. Stanford, Calif: Stanford University Press, 1993.

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Standards deviation: How schools misunderstand education policy / James P. Spillane. Cambridge, Mass: Harvard University Press, 2004.

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Monroe, Burt L. Inequity, inequality and disproportionality: Measuring deviations from a distributional standard. Coventry: Warwick University, Department of Politics and International Studies, 1992.

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Monroe, Burt L. Inequity, inequality, and disproportionality: Measuring deviations from a distributional, standard. Warwick: University of Warwick, Department of Politics, 1992.

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Standard deviations: Growing up and coming down in the new Asia. New York: Villard Books, 2002.

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Fairbank, Ben. Equipercentile test equating: The effects of presmoothing and postsmoothing on the magnitude of sample-dependent errors. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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Kerbe, Jehad. al-Tabāyun al-yawmī lil-inḥirāfāt al-ḥarārīyah li-Makkah al-Mukarramah ʻan al-muʻaddalāt al-ḥarārīyah al-yawmīyah bi-al-Mamlakah al-ʻArabīyah al-Saʻūdīyah. al-Kuwayt: Markaz Dirāsāt al-Khalīj wa-al-Jazīrah al-ʻArabīyah, Jāmiʻat al-Kuwayt, 2007.

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Book chapters on the topic "Standard deviation"

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Hausner, Melvin. "Standard Deviation." In Elementary Probability Theory, 207–34. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1753-5_6.

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Gooch, Jan W. "Standard Deviation." In Encyclopedic Dictionary of Polymers, 997. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15383.

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Turner, J. Rick. "Standard Deviation." In Encyclopedia of Behavioral Medicine, 2132–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1074.

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Turner, J. Rick. "Standard Deviation." In Encyclopedia of Behavioral Medicine, 1874–75. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1074.

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M., Sekander Hayat Khan. "Standard Deviation." In International Encyclopedia of Statistical Science, 1378–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_535.

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Frery, Alejandro C. "Standard Deviation." In Encyclopedia of Mathematical Geosciences, 1–3. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-26050-7_312-2.

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Stewart, Antony. "Standard deviation." In Basic Statistics and Epidemiology, 25–26. 5th ed. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003148111-9.

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Frery, Alejandro C. "Standard Deviation." In Encyclopedia of Mathematical Geosciences, 1–3. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_312-1.

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Gooch, Jan W. "Sample Standard Deviation." In Encyclopedic Dictionary of Polymers, 995. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15363.

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Nahler, Gerhard. "standard deviation (SD)." In Dictionary of Pharmaceutical Medicine, 173. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1318.

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Conference papers on the topic "Standard deviation"

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Xin, Shibo, Yali Wang, and Wenqing Lv. "Standard deviation control chart based on weighted standard deviation method." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895533.

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Hao, Minshen, and Jerry M. Mendel. "Linguistic Weighted Standard Deviation." In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, 2013. http://dx.doi.org/10.1109/ifsa-nafips.2013.6608384.

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Sung, Jung-Min, Dae-Chul Kim, Bong-Yeol Choi, and Yeong-Ho Ha. "Image thresholding using standard deviation." In IS&T/SPIE Electronic Imaging, edited by Kurt S. Niel and Philip R. Bingham. SPIE, 2014. http://dx.doi.org/10.1117/12.2040990.

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Xie, Juanying, Ying Zhou, and Lijuan Ding. "Local Standard Deviation Spectral Clustering." In 2018 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2018. http://dx.doi.org/10.1109/bigcomp.2018.00043.

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Li, Zuoyong, Yong Cheng, Chuancai Liu, and Cairong Zhao. "Minimum Standard Deviation Difference-Based Thresholding." In 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.579.

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Cocking, Caroline, and J. Baker. "P42 The standard deviation: challenges of implementing a standards framework ASPIH." In Abstracts of the Association for Simulation Practice in Healthcare Annual Conference, 6th to 7th November 2017, Telford, UK. The Association for Simulated Practice in Healthcare, 2017. http://dx.doi.org/10.1136/bmjstel-2017-aspihconf.126.

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Cui, Xiaowei, and Leigang Dong. "Finding Composition Skyline Based on Standard Deviation." In 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA). IEEE, 2019. http://dx.doi.org/10.1109/icbda.2019.8713197.

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Zhang, Junguang. "Study on Software Project Significant Deviation Standard." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.721.

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Amirtharajan, Rengarajan, P. Archana, V. Rajesh, G. Devipriya, and J. B. B. Rayappan. "Standard deviation converges for random image steganography." In 2013 IEEE Conference on Information & Communication Technologies (ICT). IEEE, 2013. http://dx.doi.org/10.1109/cict.2013.6558256.

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Wang, Kaijun. "Asynchronous standard deviation method for fault detection." In 2014 Prognostics and System Health Management Conference (PHM-2014 Hunan). IEEE, 2014. http://dx.doi.org/10.1109/phm.2014.6988170.

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Reports on the topic "Standard deviation"

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Schneiter, Kady. Standard Deviation Applet. Washington, DC: The MAA Mathematical Sciences Digital Library, December 2008. http://dx.doi.org/10.4169/loci003212.

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Verbeke, J. UCRLDetermination of the standard deviation on multiplication based on count distributions. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/1010410.

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Verbeke, J. M. Determination of the standard deviation on multiplication based on count distributions. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/1119931.

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Berlinski, Samuel. Helping Struggling Students and Benefiting All: Peer Effects in Primary Education. Inter-American Development Bank, May 2022. http://dx.doi.org/10.18235/0004268.

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We exploit the randomized evaluation of a remedying education intervention that improved the reading skills of low-performing third grade students in Colombia, to study whether providing educational support to low-achieving students affects the academic performance of their higher-achieving classmates. We find that the test scores of non-treated children in treatment schools increased by 0.108 of a standard deviation compared to similar children in control schools. We interpret the reduced-form effect on higher-achieving students as a spillover effect within treated schools. We then estimate a linear-in-means model of peer effects, finding that a one-standard-deviation increase in peers' contemporaneous achievement increases individual test scores by 0.679 of a standard deviation. We rule out alternative explanations coming from a reduction in class size. We explore several mechanisms, including teachers' effort, students' misbehavior, and peer-to-peer interactions. Our findings show that policies aimed at improving the bottom of the achievement distribution have the potential to generate social-multiplier effects that benefit all.
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Cristia, Julian P., Paulo Bastos, Kim Beomsoo, and Ofer Malamud. Good schools or good students?: evidence on school effects from universal random assignment of students to high schools. Inter-American Development Bank, August 2022. http://dx.doi.org/10.18235/0004380.

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How much do schools differ in their effectiveness? Recent studies that seek to answer this question account for student sorting using random assignment generated by central allocation mechanisms or oversubscribed schools. However, the resulting estimates, while causal, may also reflect peer effects due to differences in peer quality of non-randomized students. We exploit universal random assignment of students to high schools in certain areas of South Korea to provide estimates of school effects that may better reflect the effects of school practices. We find significant effects of schools on scores in high-stakes college entrance exams: a 1 standard deviation increase in school quality leads to 0.06-0.08 standard deviations higher average academic achievement in Korean and English languages. Analogous estimates from areas of South Korea that do not use random assignment, and therefore include the effects of student sorting and peer effects, are substantially higher.
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Bracewell, Jeff. Shoreline change at Gulf Islands National Seashore, Florida and Mississippi: 2018–2021 data summary. National Park Service, March 2022. http://dx.doi.org/10.36967/nrr-2293103.

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In May and June 2018, and April 2021, the Gulf Coast Network (GULN) surveyed shoreline position at Gulf Islands National Seashore (GUIS) as a part of the NPS Vital Signs Monitoring Program. Monitoring was conducted following methods detailed in Monitoring Shoreline Position at Gulf Coast Network Parks: Protocol Implementation Plan (PIP; Bracewell 2017). Shoreline change was calculated using the Digital Shoreline Analysis System developed by USGS (Theiler et al. 2008). Key findings from this effort are as follows: In Florida, the mean shoreline change rate from 2018 to 2021 was -7.10 meters/year (-23.3 feet[ft]/year) with a standard deviation of 5.01 meters (16.4 ft) with approximately 95% of transects exhibiting landward retreat. In Mississippi, the mean change in island width from 2018 to 2021 was -7.46 meters/year (-24.5 ft/year) with a standard deviation of 12.49 meters (41.0 ft) with approximately 73% of transects exhibiting a loss in width. This project is in the early phases of implementation and will benefit from future surveys to better understand the influence of slight changes in survey timing and other environmental variations.
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Hunter, Margaret, Jijo K. Mathew, Ed Cox, Matthew Blackwell, and Darcy M. Bullock. Estimation of Connected Vehicle Penetration Rate on Indiana Roadways. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317343.

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Over 400 billion passenger vehicle trajectory waypoints are collected each month in the United States. This data creates many new opportunities for agencies to assess operational characteristics of roadways for more agile management of resources. This study compared traffic counts obtained from 24 Indiana Department of Transportation traffic counts stations with counts derived by the vehicle trajectories during the same periods. These stations were geographically distributed throughout Indiana with 13 locations on interstates and 11 locations on state or US roads. A Wednesday and a Saturday in January, August, and September 2020 are analyzed. The results show that the analyzed interstates had an average penetration of 4.3% with a standard deviation of 1.0. The non-interstate roads had an average penetration of 5.0% with a standard deviation of 1.36. These penetration levels suggest that connected vehicle data can provide a valuable data source for developing scalable roadway performance measures. Since all agencies currently have a highway monitoring system using fixed infrastructure, this paper concludes by recommending agencies integrate a connected vehicle penetration monitoring program into their traditional highway count station program to monitor the growing penetration of connected cars and trucks.
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Carlsson, Mikael, Julián Messina, and Oskar Nordström Skans. Research Insights: How Do Job and Worker Flows Respond to Firms' Idiosyncratic Technology and Demand Shocks? Inter-American Development Bank, February 2020. http://dx.doi.org/10.18235/0003038.

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Permanent demand shocks are the main driver of labor adjustments. A one standard deviation demand shock increases the net employment rate by 6 percentage points in the long run, while a technology shock increases it by 0.5. Transitory demand shocks have much smaller impacts. When hit by a permanent demand shock, firms adjust fast and symmetrically. Most of the labor change occurs within a year. If the shock is positive, firms adjust by increasing hires. If the shock is negative, they increase separations without reducing hires.
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Álvarez Marinelli, Horacio, Samuel Berlinski, Matías Busso, and Julián Martínez Correa. Research Insights: Can Training and Coaching Teachers and the Provision of Structured Materials Improve Early Literacy among First-Grade Students? Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004606.

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AUTHORÁlvarez Marinelli, Horacio; Berlinski, Samuel; Busso, Matías; Martínez Correa, JuliánDATEDec 2022READ: English (4 downloads) View Online Download Spanish (5 downloads) View Online Download DOIhttp://dx.doi.org/10.18235/0004606A one-year teacher professional development program was effective at improving students literacy skills by the end of first grade (0.39 of a standard deviation in overall literacy proficiency). Literacy gains persisted through the second and third grades, even though teachers in those grades were not part of the program. Gains were homogeneous across students of different characteristics such as gender, socioeconomic status, and initial levels of literacy skills.
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Berlinski, Samuel, Matías Busso, Taryn Dinkelman, and Claudia Martínez A. Reducing Parent-School Information Gaps and Improving Education Outcomes: Evidence from High-Frequency Text Messages. Inter-American Development Bank, May 2021. http://dx.doi.org/10.18235/0003257.

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We conducted an experiment in low-income schools in Chile to test the effects and behavioral changes triggered by a program that sends attendance, grade, and classroom behavior information to parents via weekly and monthly text messages. Our 18-month intervention raised average math GPA by 0.09 of a standard deviation and increased the share of students satisfying attendance requirements for grade promotion by 4.5 percentage points. Treatment effects were larger for students at higher risk of later grade retention and dropout. Leveraging existing school inputs for a light-touch, cost-effective, and scalable information intervention can improve education outcomes in lower-income settings.
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