Relevant bibliographies by topics / Yield

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Yield'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Yield"

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MUNDAN, Durhasan, Reşit DEMİR, and Esma PAYDAŞ. "İvesi Koyunlarda Kontrol Günü Verimlerinden Yararlanarak Laktasyon Verimini Tahmin Etme Metotları." Journal of Advances in VetBio Science and Techniques 7, no. 2 (August 31, 2022): 153–60. http://dx.doi.org/10.31797/vetbio.1056967.

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The objective of this study was to determine the effect of various milk control methods on prediction accuracy of lactation milk yield for Awassi sheep. Different control methods (Sweden, Vogel, Holland I, Holland II, Trapeze I, Trapeze II and State Production Farm methods) and control periods (14th, 21st, 28th, 42nd and 56th day) used to determine lactation milk yield were compared. The data of the research was created within the scope of the "National Project of Small Ruminant Animal Breeding in the Hands of the People" in 2018 and a total of 3173 sheep records belonging to 31 enterprises were used. The actual lactation yield in the study was determined as 255.570.85 kg and the lactation length as 170.620.19 day. Correlation coefficients between the actual lactation yield and lactation yield calculated according to different control methods were found to be high and significant for all control periods and control methods (P<0.05, P<0.01, P<0.001). It gave the similar results to the actual lactation yield in the Vogel method calculated according to different control methods in a period of 28th days, in the Trapeze I method in a period of 28th and 42nd days, in the Trapeze II method in all periods (P>0.05). In the other control periods, all methods differed significantly from the actual lactation yield (P<0.05, P<0.01, P<0.001). As a result, it has been concluded that results close to the actual lactation yield will be obtained by using one of the Vogel or Trapeze I-II methods calculated by using the milk yields on the control day of Awassi sheep raised under Şanlıurfa conditions.
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Kulla, L., J. Tutka, and R. Marušák. "Forest yield index and its applicability to the assessment of future forest yields." Journal of Forest Science 55, No. 1 (February 3, 2009): 41–50. http://dx.doi.org/10.17221/45/2008-jfs.

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The paper suggests and examines a simplified relative indicator of forest production, with special regard to possibilities of its use in projecting future forests. Forest yield index (<I>I</I><sub>Y</sub>), based on an economic parameter “value of final cutting yield” was proposed, and examined in the model territory of Kysuce in north-western Slovakia. The current values of final cutting yield, dependent on tree species, site index and the length of rotation period served as a basis for the assessment of expected yields. The possibilities and limitations of index applicability in long-term strategic forest management decision-making are discussed, considering the uncertainty of ecological and economic conditions during the long forest production cycle, as well as the complexity of tree species growth and production in the mixed forests, uneven aged forests and forests under climate change.
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Kucharik, Christopher J., Tanjona Ramiadantsoa, Jien Zhang, and Anthony R. Ives. "Spatiotemporal trends in crop yields, yield variability, and yield gaps across the USA." Crop Science 60, no. 4 (May 28, 2020): 2085–101. http://dx.doi.org/10.1002/csc2.20089.

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Jubinski, Daniel, and Amy F. Lipton. "Equity volatility, bond yields, and yield spreads." Journal of Futures Markets 32, no. 5 (May 26, 2011): 480–503. http://dx.doi.org/10.1002/fut.20521.

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Yustisia, Yustisia, NP Sri Ratmini, J. Amirrullah, Y. Juwita, YPAP Hutabarat, and Atekan Atekan. "Yield Components and Efficiency Index of Maize Yield: Relationship to Yields in Tidal Fields." Jurnal Lahan Suboptimal : Journal of Suboptimal Lands 10, no. 2 (October 1, 2021): 140–49. http://dx.doi.org/10.36706/jlso.10.2.2021.522.

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Identification of the advantages of hybrid maize lines is needed to support the increased production and development of maize in tidal fields. This study aimed to identify the agronomic characters and yield components of hybrid maize lines/varieties and their relationship with high yield and efficient fertilization in tidal fields. The design used was a Split Plot with three replications. The Main Plot was a hybrid maize line/variety (L39/MR4, MGOLD/G8, G28/MGOLD, P27). The subplots were Composite Fertilizer with 2 measures, namely 600 kg/ha and 720 kg/ha. The fertilizers of Urea (50%), SP 36 and NPK (100%) were given at 10 days after planting (DAP). The remaining Urea was given at 30 DAP, 50% and 58.33% respectively in the Composite Fertilizer treatment of 600 kg/ha and 720 kg/ha. The technical culture applied was optimum tillage with the 70 cm x 25 cm spacing, the irrigation being carried out at D/DAP and 15 DAP, the optimal control on the weed and Plant Pest Organisms. The result showed that the number of rows/cobs was an alternative variable in identifying maize lines/varieties with high yield and efficient fertilization. This character was closely correlated with seed/ear weight (r = 0.94) and Grain Yield Efficiency Index/GYEI (r = 0.84). All Genotypes were nutrient efficient (GYEI > 1) except G28/MGOLD (IGYEI < 1). Another approach used to identify efficient fertilization lines/varieties was the variable percentage of yield reduction through regression equations with GYEI (y = - 0.0104 x + 1.0426). The character of high number of rows/cob could be used as genetic material in plant breeding programs. The lines/varieties as a component of efficient technology and high productivity would contribute to increase production and development of maize in tidal fields.
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NeSmith, D. S. "Plant Spacing Influences Watermelon Yield and Yield Components." HortScience 28, no. 9 (September 1993): 885–87. http://dx.doi.org/10.21273/hortsci.28.9.885.

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Watermelon [Citrullus lanatus (Thunb.) Matsum & Nakai] cultivars StarBrite and Crimson Sweet were grown during 1991 and 1992 in rows 1.5 m apart at plant spacings of 0.9, 1.5, or 2.2 m. Total fruit yield, marketable fruit yield, fruit-weight distribution, and estimated gross returns were determined for each spacing treatment. Total and marketable fruit yields were greater overall for `StarBrite' than for `Crimson Sweet'. Except for 1991 `Crimson Sweet' yields, marketable fruit yields per unit land area increased 29% to 34% as plant spacing decreased from 2.2 to 0.9 m. The yield component contributing the most to increased yields with high-density plantings was increased fruit count per unit land area. Average fruit weight responded only slightly to decreased plant spacing. Fruit-weight distribution on a relative frequency scale was stable regardless of plant spacing or production year. The potential for increasing gross returns per unit land area exists by increasing watermelon plant populations beyond the current Georgia recommendation of 2500 to 3000 plants/ha.
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Asthir, Bavita, Shashi Bala, and Navtej Singh Bains. "Effect of Terminal Heat Stress on Yield and Yield Attributes of Wheat." Indian Journal of Applied Research 4, no. 6 (October 1, 2011): 1–2. http://dx.doi.org/10.15373/2249555x/june2014/1.

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D. Malath, D. Malath, and P. Gomathinayagam P. Gomathinayagam. "Correlation Analysis for Yield and Yield Contributing Characters Involving in Aerobic Rice." International Journal of Scientific Research 2, no. 10 (June 1, 2012): 1–2. http://dx.doi.org/10.15373/22778179/oct2013/159.

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Y.A, NANJA REDDY, PRASAD T.G, and UDAYA KUMAR M. "GENOTYPIC VARIATION IN YIELD ATTRIBUTES AND YIELD OF RICE." Madras Agricultural Journal 82, April (1995): 310–13. http://dx.doi.org/10.29321/maj.10.a01196.

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Experiment was carried out to bring out the genotypic variations from a broad genetic base and to utilise the best attribute in achieving higher grain yields. The results indicated significant genotypic differences in yield attributes and yield. The association analysis showed a significant positive relationship of grain yield with productive tillers, filled grain number per panicle, 1000 grain weight and harvest index. Among the yield attributes productive tillers, filled grain number per panicle and harvest index contributed to a greater extent in achieving the productivity. This indicates, the selection of numerically high value for each yield attribute and incorporating in a single genotype may boost the grain yields significantly to a higher level. However, grain size is not a preferable character in consumer point of view. Therefore, selection of genotypes with large number of productive tillers and filled grain per panicle may be worthwhile.
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Assefa, Banchayehu Tessema, Jordan Chamberlin, Pytrik Reidsma, João Vasco Silva, and Martin K. van Ittersum. "Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia." Food Security 12, no. 1 (December 2, 2019): 83–103. http://dx.doi.org/10.1007/s12571-019-00981-4.

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AbstractEthiopia has achieved the second highest maize yield in sub-Saharan Africa. Yet, farmers’ maize yields are still much lower than on-farm and on-station trial yields, and only ca. 20% of the estimated water-limited potential yield. This article provides a comprehensive national level analysis of the drivers of maize yields in Ethiopia, by decomposing yield gaps into efficiency, resource and technology components, and accounting for a broad set of detailed input and crop management choices. Stochastic frontier analysis was combined with concepts of production ecology to estimate and explain technically efficient yields, the efficiency yield gap and the resource yield gap. The technology yield gap was estimated based on water-limited potential yields from the Global Yield Gap Atlas. The relative magnitudes of the efficiency, resource and technology yield gaps differed across farming systems; they ranged from 15% (1.6 t/ha) to 21% (1.9 t/ha), 12% (1.3 t/ha) to 25% (2.3 t/ha) and 54% (4.8 t/ha) to 73% (7.8 t/ha), respectively. Factors that reduce the efficiency yield gap include: income from non-farm sources, value of productive assets, education and plot distance from home. The resource yield gap can be explained by sub-optimal input use, from a yield perspective. The technology yield gap comprised the largest share of the total yield gap, partly due to limited use of fertilizer and improved seeds. We conclude that targeted but integrated policy design and implementation is required to narrow the overall maize yield gap and improve food security.
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Dissertations / Theses on the topic "Yield"

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Zuehlke, Karl William. "Yield." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9339.

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Thesis (M.F.A.) -- University of Maryland, College Park, 2009.
Thesis research directed by: Dept. of English. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Christensen, Justin. "Electron Yield Measurements of High-Yield, Low-Conductivity Dielectric Materials." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/6694.

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Materials exposed to the space plasma environment acquire electric charge, which can have harmful effects if it leads to arcing or electrostatic breakdown of important spacecraft components. In fact, spacecraft charging is the leading environmentally induced cause of spacecraft anomalies. This study focuses on measuring electron yield, a property of materials that describes how many electrons are ejected from a material under energetic electron bombardment, which can vary depending on the energy of incident electrons. Intrinsic electron yield is defined as the average number of electrons emitted per incident electron from an electrically neutral material. The specific aim of this work is to improve yield measurements for insulator materials, which can be difficult to test using conventional methods due to charge accumulation in insulators.Most studies of electron yield use a steady current electron beam in a vacuum chamber to irradiate materials to be tested. By comparing the amount of current deposited in the material to the total incident current, the emitted current can be calculated. This works well for conductors; however, insulators charge up quickly, which either repel incident electrons or reattract emitted electrons producing erroneous yield measurements. This study improves on methods that use a pulsed electron beam to measure yield with small amounts of charge per pulse, as well as neutralization methods to dissipate stored charge between pulse measurements.The improvements to instrumentation and data analysis techniques are quantified to demonstrate their validity. These improvements will allow for continued studies on extreme insulator materials. Future studies will provide new understanding of interactions between electron radiation and materials, which will allow for better modeling of spacecraft charging and the development of materials that meet desired electron emission specifications.
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German, Guy. "Yield-stress drops." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/3792.

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The behaviour of viscoplastic drops during formation and detachment from a capillary nozzle, free-fall, impact on a solid substrate and subsequent spreading are investigated experimentally by high-speed imaging. Drop dynamic behaviour is an integral component of many contemporary industrial processes ranging from fuelinjection systems in combustion engines to spray coating, agrochemical and pharmaceutical delivery, fire extinguishment and ink-jet printing. Yield-stress fluids are commonly used nowadays in products ranging from mayonnaise to hair-gel. It is hoped that through understanding the dynamics of viscoplastic fluids, additional spray applications can be developed that will help to advance and optimise industrial processes. Viscoplastic fluids exhibit shear-thinning behaviour when the applied stress exceeds a certain threshold value, called the yield-stress. Below this threshold however, the fluid behaves like an elastic solid. By comparing the behaviour of viscoplastic drops with both Newtonian and shear-thinning fluids, yield-stress is shown to be capable of altering detachment behaviour, drop shape during free-fall, impact morphology and the final sessile shape of drops after spreading. For drops attached to the end of a capillary tube, growth continues until a maximum supportable tensile stress is reached in the drop neck. After this critical point, drops become unstable and detach. The critical break-up behaviour of low yield-stress drops is found to be similar to those of Newtonian and shear-thinning fluids. Above a threshold value however, characterised in terms of the ratio between yield-stress magnitude and capillary pressure, yield-stress forces exceed surface tension forces and the maximum tensile stress achievable in the drop neck at critical stability is governed by the extensional yield-stress, established using the von Mises criterion. This threshold value can also be used to characterise equilibrium drop shapes during free-fall. Whereas Newtonian, shear-thinning and low yield-stress fluids form near spherical equilibrium drop shapes, fluids above a threshold value become increasingly more prolate as the yield-stress increases. Upon impact, viscoplastic drops can exhibit central peaks at the end of inertial spreading. The influence of yield-stress magnitude on impact behaviour is qualitatively established by measuring the size of these peaks. Peaks indicate that deformation during impact is localized and within a threshold radius, shear stresses will not be large enough to overcome the yield-stress, therefore fluid within this region will not deform from the drop shape prior to impact. After impact, spreading will be dependent on the surface energy. Again, the ratio of the yield-stress magnitude to the capillary pressure can be used to characterise the final sessile drop shape. Whilst the equilibrium contact angle of Newtonian, shear-thinning and low yield-stress drops is independent of the yield-stress magnitude, above a threshold value, contact angles vary as a function of yield-stress magnitude. Whilst the research presented in this thesis highlights how fluid yield-stress can influence drop dynamics, some results are only qualitative. To establish more quantitative results, computational fluid dynamics methods should be used to examine viscoplastic drop dynamics. This research should focus primarily on impact behaviour, an aspect that has not received much attention previously. Modelling shear-thinning and viscoplastic fluid behaviour can be achieved by incorporating the relevant rheological models into the flow equations and examining impact morphology using a volume of fluid method. Numerical results can then be directly compared with the experimental results. Useful further experimentation could examine the relaxation behaviour of diamagnetically levitated viscoplastic drops. The results from this work could provide further insight into what rheological model best describes viscoplastic behaviour for shear-stresses below the yield-point.
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Antas, Vilém. "Yield Curve Constructions." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264627.

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The goal of this thesis is to analyze the mathematical apparatus of the most widespread methods used for the yield curves construction. It aims to introduce not only the various of construction models but also to describe the whole process of creation, while discussing the advantages and disadvantage of individual methods. The first chapter focus on the general theory and the use of the term structure of interest rates in practice. The second part deals with the construction process itself and describes the most frequently used methods. The last chapter then shows the real application of selected methods on given data set and the use of the constructed yield curves for interest rate derivative valuation too.
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Cooney, Mackenzie C. "Yield-Curve Momentum." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2244.

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It has been twelve years since the last time the yield curve was inverted. Since 2017, the yield curve has been continuing to flatten and has almost entered an inverted state. The last five recessions have been preceded by the inversion of the yield curve. I examine momentum trading strategy’s ability to outperform during an inverted yield curve state. The yield curve can enter the momentum portfolio strategy through the portfolio’s formation and holding period. I document the increased performance of the momentum strategy’s total portfolio return in an inverted state. These results have implications on the timing a momentum trading strategy might be implemented.
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Li, Dandan. "SOYBEAN QTL FOR YIELD AND YIELD COMPONENTS ASSOCIATED WITH GLYCINE SOJA ALLELES." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_diss/331.

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USA soybean germplasm has a narrow genetic base that could be augmented by alleles from the wild species Glycine soja which positively influence agronomic traits. The objective of this study was to identify such alleles for yield and yield component QTL (quantitative trait loci). Two populations of 150 BC2F4 lines were generated from a mating between recurrent parent Glycine max 7499 and donor parent Glycine soja PI 245331 with one line in each population tracing back to the same BC2 plant. Population A was used for the QTL identification analysis and population B was used for the QTL verification test. The population A lines were genotyped at 120 SSR marker loci and one phenotype marker, covering a total map length of 1506 cM in 20 linkage groups with an average interval size of 12.5 cM. There were nine putative QTL significantly (Pandlt;0.0001, LODandgt;3.0) associated with yield and yield component traits across 3 environments. One QTL for seed yield was identified using the combined data; the G. soja allele at satt511 on LG-A1 was associated with increased seed yield (LOD=4.3) with an additive yield effect of 190 235 kg ha-1 depending on the QTL analysis method. The phenotypic variance accounted for by the QTL at satt511 was 12%. This QTL also provided a significant yield increase across environments in the validation population; lines that were homozygous for the G. soja allele at satt511 demonstrated a 6.3% (P=0.037) yield increase over lines that were homozygous for the G. max allele. One seed filling period QTL was identified at satt335 (LOD=4.0) on LG-F with an additive effect of +1 day. This QTL also provided a +1 day additive effect (LOD=3.3) on maturity. These results demonstrate the potential of using exotic germplasm to improve soybean yield.
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Gonçalves, Júlia Alves Roque. "Yield gap explaining factors and solutions to improve yields in a maize farm in Portugal." Master's thesis, ISA, 2019. http://hdl.handle.net/10400.5/21289.

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Mestrado em Engenharia Agronómica / Instituto Superior de Agronomia. Universidade de Lisboa
Over the decades, it has been found that agricultural intensification, that is, the increase in production per hectare, is substantially urgent and necessary, justified by the observed and expected population increase and the impossibility of agricultural expansion. One of the methods for achieving this goal is the study and investigation of yield gaps, which may be explained by unfavorable soil and climate conditions, or less adequate input management. Given the socio-economic importance of maize crop in Portugal and the need for case studies that exemplify agricultural intensification methods, this dissertation aims to discover which are the reducing factors that justify the gap between the maximum and actual yields, known as yield gaps, which were analyzed between plots and years, and how large was the yield gap over the 10 years. Through a database of irrigation appropriations, nitrogen applications, sowing dates and climate data, collected over 10 years and provided by Milho Amarelo company, located in the Santarem region, other variables were calculated, such as degree-day accumulation, cultural evapotranspiration and intercepted radiation. These data were analyzed annually according to the whole cycle and according to different phenological phases (vegetative and reproductive). Once all variables were obtained and organized, statistical methods of bivariate and multivariate analysis were performed. The magnitude of yield gap was calculated according to the Approach 2 indicated by FAO 41. The results show that interaction of sowing dates with climatic conditions are in the nature of this deviation, with gap’s magnitude ranging from 5% to 20%, depending on the climatic conditions of the year
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Mills, Robert William. "Fission product yield evaluation." Thesis, University of Birmingham, 1995. http://etheses.bham.ac.uk//id/eprint/4353/.

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A new evaluation has been made of the independent and cumulative yields of fission products for a selection of fissioning systems, including fission of nuclides important for reactor design and operation, and for fuel and waste management. The evaluation, which has been given the reference name UKFY3, used a new database of measurements and is considered complete up to early 1993. This database considerably extends and updates the database used for the previous UKFY2 evaluation. The measurement database was analysed to produce a “best estimate” set of fission product yields. Careful study has been made of experimental uncertainties and discrepancies in the data. As some discrepancies could not be resolved the normalised residual technique was used to down-weight discrepant values. Relative and ratio-of-ratio measurements were included in the analysis by an iterative procedure. The measured data, results of the analysis and discrepancies in the data are shown in extensive tables included as appendices to this thesis. The “best estimates” of fission product yields generated by the analysis were then studied to improve the understanding of the systematics of the yield distribution in mass, charge and isomeric state. Models describing these distributions were investigated and fitted. The effects of the fissioning nucleus mass and charge were examined, as well as the effect of neutron energy on the distributions from neutron-induced fission. The results of these studies were then combined with the “best estimates” to generate complete independent and cumulative yields sets for a list of fissioning systems considered important for applications. This set consists of the neutron-induced fission of 232Th, 233,234,235,236,238U, 237,238Np, 238,239,240,241,242Pu, 241,242m,243Am, and 243,244,245Cm, plus the spontaneous fission of 242,244Cm and 252Cf. These complete yield sets were subsequently adjusted to fit the physical constraints of the fissioning process. The new adjusted library produced by the analysis of the UKFY3 database, provisionally called UKFY3.0 has been produced as a computer file in the ENDF-6 format. The new UKFY3.0 file and the UKFY2 file, which has been revised for use in JEF2.2 during this work, were then tested against integral experimental results for delayed neutron and decay heat production respectively. Finally, results of this work are summarized, remaining problems discussed and areas for future work high-lighted.
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Abrahams, Michael (Michael G. ). "Estimating yield curve noise." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118001.

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Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 27-29).
In this paper, I explore methods for estimating noise in the yield curve. I evaluate optimization methods for fitting yield curves using the Nelson-Siegel model where recommendations in the literature remain unclear. I provide open source code on Github including contributions to the QuantLib C++ financial library.
by Michael Abrahams.
S.M. in Management Research
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Bilhastre, Ângela Germano. "Fitting the yield curve." Master's thesis, NSBE - UNL, 2009. http://hdl.handle.net/10362/9456.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
This paper is concerned with the fitting of the yield curve in order to achieve a continuous term structure of interest rates by applying two methods: the cubic polynomial spline by McCulloch (1975), and the Nelson-Siegel-Svensson (1994). Subsequently, a trading model is used to make sensitivity analysis decisions on whether to buy or sell a bond (reach/cheap analysis). Finally, with the purpose of forecasting future yields, out-of-sample forecasts are calculated for the parameters of the Nelson-Siegel-Svensson.
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Books on the topic "Yield"

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Johnson, Susan Peterson. The yield. Edina, Minn: Beaver's Pond Press, 2009.

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AlRyalat, Saif Aldeen Saleh. Eye Yield. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2968-6.

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Smith, Donald L., and Chantal Hamel, eds. Crop Yield. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8.

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Salençon, Jean. Yield Design. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118648988.

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Mishkin, Frederic S. Yield curve. Cambridge, MA: National Bureau of Economic Research, 1990.

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Yield design. London: ISTE, 2013.

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Fage, Paul. Yield calculations. London: Credit Suisse First Boston, 1986.

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Johnson, A. I. Specific yield. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Johnson, Susan Peterson. The yield. Edina, Minn: Beaver's Pond Press, 2009.

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Stander, Yolanda S. Yield Curve Modeling. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230513747.

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Book chapters on the topic "Yield"

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Kuo, Way, Wei-Ting Kary Chien, and Taeho Kim. "Yield and Modeling Yield." In Reliability, Yield, and Stress Burn-In, 65–91. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5671-8_4.

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Basuchaudhuri, Pranab. "Yield and Yield-Gap." In Submerged Rice, 200–222. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781032663432-7.

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Ikeda, Mayuko, Hidemi Kitano, and Makoto Matsuoka. "Yield." In Genetics and Genomics of Rice, 227–35. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7903-1_15.

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Gooch, Jan W. "Yield." In Encyclopedic Dictionary of Polymers, 822. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_12967.

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Inman-Bamber, Geoff. "Sugarcane Yields and Yield-Limiting Processes." In Sugarcane: Physiology, Biochemistry, and Functional Biology, 579–600. Chichester, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118771280.ch21.

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Hay, R. K. M. "Physiological Control of Growth and Yield in Wheat: Analysis and Synthesis." In Crop Yield, 1–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_1.

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Thomas, T. H. "Sugar Beet." In Crop Yield, 311–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_10.

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Vos, J. "Potato." In Crop Yield, 333–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_11.

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Hall, A. E. "Cowpea." In Crop Yield, 355–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_12.

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Zhang, F., and D. L. Smith. "Soybean [Glycine max (L.) Merr.] Physiology and Symbiotic Dinitrogen Fixation." In Crop Yield, 375–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_13.

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Conference papers on the topic "Yield"

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Garcia Badaracco, Erica. "High Yield Muon Catalyzed Fusion." In High Yield Muon Catalyzed Fusion. US DOE, 2023. http://dx.doi.org/10.2172/1993076.

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"Yield Floors, Yield Determination and Yield Harmonisation." In 14th Annual European Real Estate Society Conference: ERES Conference 2007. ERES, 2007. http://dx.doi.org/10.15396/eres2007_366.

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Steininger, Bertram, and Jan Becker. "Future yield after taxes (FYT): A more realistic yield rate than IRR or other types of yields?" In 24th Annual European Real Estate Society Conference. European Real Estate Society, 2017. http://dx.doi.org/10.15396/eres2017_255.

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"Yield enhancement." In 2004 Semiconductor Manufacturing Technology Workshop Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/smtw.2004.1393719.

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Wilcox, Daniel, and Slava Libman. "Yield Enhancement." In 2021 IEEE International Roadmap for Devices and Systems Outbriefs. IEEE, 2021. http://dx.doi.org/10.1109/irds54852.2021.00018.

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Bickford, Jeanne P. "Terminal metal inspection yield improvement YE: Yield enhancement." In 2017 28th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC). IEEE, 2017. http://dx.doi.org/10.1109/asmc.2017.7969234.

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Xu, Yang, Bo Wang, and Jurgen Teich. "Parametric yield optimization using leakage-yield-driven floorplanning." In 2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS). IEEE, 2014. http://dx.doi.org/10.1109/patmos.2014.6951860.

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A. Fekete. "VARIATION IN THE YIELD MEASURED BY YIELD MONITOR." In 2001 Sacramento, CA July 29-August 1,2001. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2001. http://dx.doi.org/10.13031/2013.7296.

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Sheemanto, Zara. "Counting Calories: Light Yield Studies for ADRIANO Calorimeter Prototype." In Counting Calories: Light Yield Studies for ADRIANO Calorimeter Prototype. US DOE, 2023. http://dx.doi.org/10.2172/2246795.

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Pond, Andrew D. "Predicting mask yields through the use of a yield model." In 14th Annual BACUS Symposium on Photomask Technology and Management, edited by William L. Brodsky and Gilbert V. Shelden. SPIE, 1994. http://dx.doi.org/10.1117/12.195828.

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Reports on the topic "Yield"

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Richard A. Hardin, Christoph Beckermann, and Tim Hays. Yield Improvement in Steel Casting (Yield II). Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/793381.

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Mishkin, Frederic. Yield Curve. Cambridge, MA: National Bureau of Economic Research, December 1990. http://dx.doi.org/10.3386/w3550.

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Research Institute (IFPRI), International Food Policy. Maize yield potential. Washington, DC: International Food Policy Research Institute, 2014. http://dx.doi.org/10.2499/9780896298460_25.

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Dugan, G. Antiproton Yield Calculations. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/948896.

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Piazzesi, Monika, and Martin Schneider. Equilibrium Yield Curves. Cambridge, MA: National Bureau of Economic Research, October 2006. http://dx.doi.org/10.3386/w12609.

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Liu, Yan, and Jing Cynthia Wu. Reconstructing the Yield Curve. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27266.

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Williams, Brian, Richard Picard, and Dale Anderson. Multi-phenomenology Yield Characterization. Office of Scientific and Technical Information (OSTI), March 2024. http://dx.doi.org/10.2172/2329234.

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Wright, Lynn L. US Woody Crop Yield Potential Database Documentation with Referenced Yield Summary Tables. Office of Scientific and Technical Information (OSTI), January 2014. http://dx.doi.org/10.2172/1111447.

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Mosha, Devotha B., Gilead Mlay, Colin Poulton, and Amrita Saha. Yield and Commercialisation Effects of SRI Interventions in Mngeta, Kilombero District, Tanzania. Institute of Development Studies (IDS), September 2021. http://dx.doi.org/10.19088/apra.2021.025.

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Abstract:
This paper discusses System of Rice Intensification (SRI) interventions and its potential effects on paddy yield and commercialisation in Mngeta division, Kilombero district in Morogoro region, Tanzania. SRI is an innovative agroecological methodology that aims to improve yields and farmers’ profits by creating the most suitable environment for the rice plant to grow. It comprises the precise set of cultivation practices specifically required for careful management of biophysical needs of the rice plant for producing high yields. To assess the effects, we compare between trained and non-trained farmers, as well as between farmers who are members of SRI associations and non-SRI members, on aspects of adoption of SRI interventions, paddy productivity and yields. In turn, the effects of SRI is evaluated in terms of its influence on rice yield per hectare and commercialisation at household level.
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Delmastro, A. C., and G. D. Spriggs. Yield Analysis of Nuclear Fireballs. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1498471.

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