Relevant bibliographies by topics / Pseudo-weights

Contents

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

Academic literature on the topic 'Pseudo-weights'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Pseudo-weights.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Pseudo-weights"

1

Zhukovsky, Mikhail O. "Medieval Weights with Pseudo-Arabic Inscriptions." Povolzhskaya Arkheologiya (The Volga River Region Archaeology) 4, no. 26 (2018): 117–36. http://dx.doi.org/10.24852/2018.4.26.117.136.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gala, Sadek. "Multipliers spaces, Muckenhoupt weights and pseudo-differential operators." Journal of Mathematical Analysis and Applications 324, no. 2 (2006): 1262–73. http://dx.doi.org/10.1016/j.jmaa.2005.12.040.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kim, Jee In, HyeongSeok Kim, and Jun Lee. "Evaluation of pseudo-haptic interfaces for perceiving virtual weights." International Journal of Data Mining and Bioinformatics 23, no. 1 (2020): 30. http://dx.doi.org/10.1504/ijdmb.2020.10027153.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Lee, Jun, Jee In Kim, and HyungSeok Kim. "Evaluation of pseudo-haptic interfaces for perceiving virtual weights." International Journal of Data Mining and Bioinformatics 23, no. 1 (2020): 30. http://dx.doi.org/10.1504/ijdmb.2020.105432.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Cesarano, Clemente, and Paolo Ricci. "Orthogonality Properties of the Pseudo-Chebyshev Functions (Variations on a Chebyshev’s Theme)." Mathematics 7, no. 2 (2019): 180. http://dx.doi.org/10.3390/math7020180.

Full text
Abstract:
The third and fourth pseudo-Chebyshev irrational functions of half-integer degree are defined. Their definitions are connected to those of the first- and second-kind pseudo-Chebyshev functions. Their orthogonality properties are shown, with respect to classical weights.
APA, Harvard, Vancouver, ISO, and other styles
6

Liang, Rong, and Xiaohong Zhang. "Interval-Valued Pseudo Overlap Functions and Application." Axioms 11, no. 5 (2022): 216. http://dx.doi.org/10.3390/axioms11050216.

Full text
Abstract:
A class of interval-valued OWA operators can be constructed from interval-valued overlap functions with interval-valued weights, which plays an important role in solving multi-attribute decision making (MADM) problems considering interval numbers as attribute values. Among them, when the importance of multiple attributes is different, it can only be calculated by changing the interval-valued weights. In fact, we can directly abandon the commutativity and extend the interval-valued overlap functions (IO) to interval-valued pseudo overlap functions (IPO) so that function itself implies the weights of the attributes, thus there is no need to calculate the OWA operator, which is more flexible in applications. In addition, the similar generalization on interval-valued pseudo t-norms obtained from interval-valued t-norms further enhances the feasibility of our study. In this paper, we mainly present the notion of interval-valued pseudo overlap functions and a few their qualities, including migrativity and homogeneity, and give some construction theorems and specific examples. Then, we propose the definitions of residuated implications induced by interval-valued pseudo overlap functions, give their equivalent forms, and prove some properties satisfied by them. Finally, two application examples about IPO to interval-valued multi-attribute decision making (I-MADM) are described. The results show that interval-valued pseudo overlap functions can not only be used to obtain the same rankings, but also be more flexible, simple and widely used.
APA, Harvard, Vancouver, ISO, and other styles
7

WANG, Chong. "The Weighted Embedded Homology of Super-Hypergraphs." Wuhan University Journal of Natural Sciences 29, no. 6 (2024): 523–28. https://doi.org/10.1051/wujns/2024296523.

Full text
Abstract:
In this paper, we define the weighted embedded homology of super-hypergraphs, give a quasi-partial order and a pseudo-metric on the set made up of all non-vanishing weights on a finite set, and clarify the relationship between the torsion parts of weighted embedded homology with integer coefficients of super-hypergraphs under certain weights.
APA, Harvard, Vancouver, ISO, and other styles
8

Qian, Feng, Juan Yang, Sipeng Tang, Gao Chen, and Jingwen Yan. "Addressing Noisy Pixels in Weakly Supervised Semantic Segmentation with Weights Assigned." Mathematics 12, no. 16 (2024): 2520. http://dx.doi.org/10.3390/math12162520.

Full text
Abstract:
Weakly supervised semantic segmentation (WSSS) aims to segment objects without a heavy burden of dense annotations. Pseudo-masks serve as supervisory information for training segmentation models, which is crucial to the performance of segmentation models. However, the generated pseudo-masks contain significant noisy labels, which leads to poor performance of the segmentation models trained on these pseudo-masks. Few studies address this issue, as these noisy labels remain inevitable even after the pseudo-masks are improved. In this paper, we propose an uncertainty-weight transform module to mitigate the impact of noisy labels on model performance. It is noteworthy that our approach is not aimed at eliminating noisy labels but rather enhancing the robustness of the model to noisy labels. The proposed method adopts a frequency-based approach to estimate pixel uncertainty. Moreover, the uncertainty of pixels is transformed into loss weights through a set of well-designed functions. After dynamically assigning weights, the model allocates attention to each pixel in a significantly differentiated manner. Meanwhile, the impact of noisy labels on model performance is weakened. Experiments validate the effectiveness of the proposed method, achieving state-of-the-art results of 69.3% on PASCAL VOC 2012 and 39.3% on MS COCO 2014, respectively.
APA, Harvard, Vancouver, ISO, and other styles
9

Fernstål, Lotta. "A Bit Arabic: Pseudo-Arabic Inscriptions on Viking Age Weights in Sweden and Expressions of Self-image." Current Swedish Archaeology 16, no. 1 (2021): 61–71. http://dx.doi.org/10.37718/csa.2008.04.

Full text
Abstract:
There are many Viking Age weights in Scandinavia, and not least in Swedcn. A few of the sphrrical weights with flat poles, which were used for weighing silver in trading situations, display so-called pseudo-Arabic inscriptions, i.e. writing which resembles Arabic but which is mostly illegible. Why did some people put Arabic-like writing on their weights, and what did they hope to achieve by this? These questions are discussed together with positive aspects of trade, interaction and encounters with foreigners, visual aspects of weights and weighing, as well as personal choices in the presentation of self-image.
APA, Harvard, Vancouver, ISO, and other styles
10

Charalampous, Periklis, Carolien C. H. M. Maas, and Juanita A. Haagsma. "Disability weights for environmental noise-related health states: results of a disability weights measurement study in Europe." BMJ Public Health 2, no. 1 (2024): e000470. http://dx.doi.org/10.1136/bmjph-2023-000470.

Full text
Abstract:
IntroductionMeasurement of the burden of disease using disability-adjusted life years requires disability weights to quantify health losses for non-fatal consequences of disease and injury. We aimed to obtain a set of disability weights for environmental and non-environmental noise-related health states (NOISE) using a nationally representative sample survey among the general population of four European countries; and to compare the resulting NOISE disability weights with those estimated in the Global Burden of Disease 2010 (GBD 2010) and European (EURO) disability weights measurement studies.MethodsWe administered a web-based survey among a cohort of individuals from Hungary, Italy, Sweden and the Netherlands. It included paired comparison questions on 82 different health states. Each respondent performed 13 paired comparison tasks. We analysed paired comparison responses with probit regression analysis, and regression results were anchored on the disability weight scale between 0 (equivalent to full health) and 1 (equivalent to death).ResultsIn total, 4056 respondents participated in the study. Comparison of the regression results from paired comparison responses for each country-specific dataset with those run on the pooled dataset showed high linear correlations (0.96–0.98, p<0.001). The resulting disability weights ranged from 0.005 for mild impairment of distance vision and mild anaemia to 0.761 for intensive care unit admission. The disability weight for moderate and severe annoyance was 0.006 and 0.011, respectively. Comparison of disability weights showed a higher correlation between EURO and NOISE disability weights (pseudo R-squared=0.955, Pearson correlation=0.954) compared with GBD 2010 and NOISE disability weights (pseudo R-squared=0.893, Pearson correlation=0.946).ConclusionsThe NOISE disability weights are consistent and highly correlated across the four European countries. The NOISE disability weights set can be used to estimate the burden of disease attributable to noise-related outcomes across Europe.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Pseudo-weights"

1

Pilotte, Mikaël. "Utilisation de l’estimateur d’Agresti-Coull dans la construction d’intervalles de confiance bootstrap pour une proportion." Thesis, 2020. http://hdl.handle.net/1866/25111.

Full text
Abstract:
Pour construire des intervalles de confiance, nous pouvons utiliser diverses approches bootstrap. Nous avons un problème pour le contexte spécifique d’un paramètre de proportion lorsque l’estimateur usuel, la proportion de succès dans l’échantillon ˆp, est nul. Dans un contexte classique d’observations indépendantes et identiquement distribuées (i.i.d.) de la distribution Bernoulli, les échantillons bootstrap générés ne contiennent que des échecs avec probabilité 1 et les intervalles de confiance bootstrap deviennent dégénérés en un seul point, soit le point 0. En contexte de population finie, nous sommes confrontés aux mêmes problèmes lorsqu’on applique une méthode bootstrap à un échantillon de la population ne contenant que des échecs. Une solution possible s’inspire de l’estimateur utilisé dans les méthodes de [Wilson, 1927] et [Agresti et Coull, 1998] où ceux-ci considèrent ˜p l’estimateur qui prend la proportion de succès d’un échantillon augmenté auquel on a ajouté deux succès et deux échecs. La solution que nous introduisons consiste à effectuer le bootstrap de la distribution de ˆp mais en appliquant les méthodes bootstrap à l’échantillon augmenté de deux succès et deux échecs, tant en statistique classique que pour une population finie. Les résultats ont démontré qu’une version de la méthode percentile est la méthode bootstrap la plus efficace afin d’estimer par intervalle de confiance un paramètre de proportion autant dans un contexte i.i.d. que dans un contexte d’échantillonnage avec le plan aléatoire simple sans remise. Nos simulations ont également démontré que cette méthode percentile pouvait compétitionner avantageusement avec les meilleures méthodes traditionnelles.<br>A few bootstrap approaches exist to create confidence intervals. Some difficulties appear for the specific case of a proportion when the usual estimator, the proportion of success in a sample, is 0. In the classical case where the observations are independently and identically distributed (i.i.d.) from a Bernoulli distribution, the bootstrap samples only contain zeros with probability 1 and the resulting bootstrap confidence intervals are degenerate at the value 0. We are facing the same problem in the survey sampling case when we apply the bootstrap method to a sample with all observations equal to 0. A possible solution is suggested by the estimator found in the confidence intervals of [Wilson, 1927] and [Agresti et Coull, 1998] where they use ˜p the proportion of success in a augmented sample consisting of adding two successes and two failures to the original sample. The proposed solution is to use the bootstrap method on ˆp but where the bootstrap is based on the augmented sample with two additional successes and failures, whether the sample comes from i.i.d. Bernoulli variables or from a simple random sample. Results show that a version of the percentile method is the most efficient bootstrap method to construct confidence intervals for a proportion both in the classical setting or in the case of a simple random sample. Our results also show that this percentile interval can compete with the best traditional methods.
APA, Harvard, Vancouver, ISO, and other styles
2

Dabdoubi, Oussama. "Comparaison empirique des méthodes bootstrap dans un contexte d'échantillonnage en population finie." Thèse, 2019. http://hdl.handle.net/1866/22545.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Mashreghi, Zeinab. "Méthodes de rééchantillonnage en méthodologie d'enquête." Thèse, 2014. http://hdl.handle.net/1866/11933.

Full text
Abstract:
Le sujet principal de cette thèse porte sur l'étude de l'estimation de la variance d'une statistique basée sur des données d'enquête imputées via le bootstrap (ou la méthode de Cyrano). L'application d'une méthode bootstrap conçue pour des données d'enquête complètes (en absence de non-réponse) en présence de valeurs imputées et faire comme si celles-ci étaient de vraies observations peut conduire à une sous-estimation de la variance. Dans ce contexte, Shao et Sitter (1996) ont introduit une procédure bootstrap dans laquelle la variable étudiée et l'indicateur de réponse sont rééchantillonnés ensemble et les non-répondants bootstrap sont imputés de la même manière qu'est traité l'échantillon original. L'estimation bootstrap de la variance obtenue est valide lorsque la fraction de sondage est faible. Dans le chapitre 1, nous commençons par faire une revue des méthodes bootstrap existantes pour les données d'enquête (complètes et imputées) et les présentons dans un cadre unifié pour la première fois dans la littérature. Dans le chapitre 2, nous introduisons une nouvelle procédure bootstrap pour estimer la variance sous l'approche du modèle de non-réponse lorsque le mécanisme de non-réponse uniforme est présumé. En utilisant seulement les informations sur le taux de réponse, contrairement à Shao et Sitter (1996) qui nécessite l'indicateur de réponse individuelle, l'indicateur de réponse bootstrap est généré pour chaque échantillon bootstrap menant à un estimateur bootstrap de la variance valide même pour les fractions de sondage non-négligeables. Dans le chapitre 3, nous étudions les approches bootstrap par pseudo-population et nous considérons une classe plus générale de mécanismes de non-réponse. Nous développons deux procédures bootstrap par pseudo-population pour estimer la variance d'un estimateur imputé par rapport à l'approche du modèle de non-réponse et à celle du modèle d'imputation. Ces procédures sont également valides même pour des fractions de sondage non-négligeables.<br>The aim of this thesis is to study the bootstrap variance estimators of a statistic based on imputed survey data. Applying a bootstrap method designed for complete survey data (full response) in the presence of imputed values and treating them as true observations may lead to underestimation of the variance. In this context, Shao and Sitter (1996) introduced a bootstrap procedure in which the variable under study and the response status are bootstrapped together and bootstrap non-respondents are imputed using the imputation method applied on the original sample. The resulting bootstrap variance estimator is valid when the sampling fraction is small. In Chapter 1, we begin by doing a survey of the existing bootstrap methods for (complete and imputed) survey data and, for the first time in the literature, present them in a unified framework. In Chapter 2, we introduce a new bootstrap procedure to estimate the variance under the non-response model approach when the uniform non-response mechanism is assumed. Using only information about the response rate, unlike Shao and Sitter (1996) which requires the individual response status, the bootstrap response status is generated for each selected bootstrap sample leading to a valid bootstrap variance estimator even for non-negligible sampling fractions. In Chapter 3, we investigate pseudo-population bootstrap approaches and we consider a more general class of non-response mechanisms. We develop two pseudo-population bootstrap procedures to estimate the variance of an imputed estimator with respect to the non-response model and the imputation model approaches. These procedures are also valid even for non-negligible sampling fractions.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Pseudo-weights"

1

Deb, Kalyanmoy, Aryan Gondkar, and Suresh Anirudh. "Learning to Predict Pareto-Optimal Solutions from Pseudo-weights." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27250-9_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Karlovich, Yu I. "Localization of a Class of Muckenhoupt Weights by Using Mellin Pseudo-Differential Operators." In Applied and Numerical Harmonic Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36138-9_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Pseudo-weights"

1

Sheng, Yubin, Zuping Zhang, Panrui Tang, Bo Huang, and Yao Xiao. "EDAW: Enhanced Knowledge Distillation and Adaptive Pseudo Label Weights for Continual Named Entity Recognition." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831235.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Shouling Zhao, Quan Liu, and Binbin Zhang. "A fast OBS pruning algorithm based on pseudo-entropy of weights." In 2010 2nd International Conference on Advanced Computer Control. IEEE, 2010. http://dx.doi.org/10.1109/icacc.2010.5486816.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Chien, Been-Chian, Yueh-Chia Hsu, and Tzung-Pei Hong. "An Efficient Class-incremental Learning Strategy with Frozen Weights and Pseudo Exemplars." In MISNC2021: The 8th Multidisciplinary International Social Networks Conference. ACM, 2021. http://dx.doi.org/10.1145/3504006.3504023.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Li, Kuan, Qianzhi Lian, and Can Gao. "Deep Semi-Supervised Learning with Fine-Grained Dynamic Weights and Pseudo-Label Constraints." In 2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI). IEEE, 2023. http://dx.doi.org/10.1109/cccai59026.2023.00009.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ammar, Samar Ben, Mario G. C. A. Cimino, Pierfrancesco Foglia, Federico A. Galatolo, and Issam Nouiri. "Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights." In 2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing (EUC). IEEE, 2021. http://dx.doi.org/10.1109/euc53437.2021.00034.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

de Lima, Rafael Pires, Youzuo Lin, and Kurt J. Marfurt. "Transforming seismic data into pseudo-RGB images to predict CO2 leakage using pre-learned convolutional neural networks weights." In SEG Technical Program Expanded Abstracts 2019. Society of Exploration Geophysicists, 2019. http://dx.doi.org/10.1190/segam2019-3215401.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wu, Zhiyu, and Jinshi Cui. "AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/580.

Full text
Abstract:
Existing semi-supervised learning algorithms adopt pseudo-labeling and consistency regulation techniques to introduce supervision signals for unlabeled samples. To overcome the inherent limitation of threshold-based pseudo-labeling, prior studies have attempted to align the confidence threshold with the evolving learning status of the model, which is estimated through the predictions made on the unlabeled data. In this paper, we further reveal that classifier weights can reflect the differentiated learning status across categories and consequently propose a class-specific adaptive threshold mechanism. Additionally, considering that even the optimal threshold scheme cannot resolve the problem of discarding unlabeled samples, a binary classification consistency regulation approach is designed to distinguish candidate classes from negative options for all unlabeled samples. By combining the above strategies, we present a novel SSL algorithm named AllMatch, which achieves improved pseudo-label accuracy and a 100% utilization ratio for the unlabeled data. We extensively evaluate our approach on multiple benchmarks, encompassing both balanced and imbalanced settings. The results demonstrate that AllMatch consistently outperforms existing state-of-the-art methods.
APA, Harvard, Vancouver, ISO, and other styles
8

Xiong, Feng, Jiayi Tian, Zhihui Hao, Yulin He, and Xiaofeng Ren. "SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/207.

Full text
Abstract:
Semi-Supervised Object Detection (SSOD) aims to improve performance by leveraging a large amount of unlabeled data. Existing works usually adopt the teacher-student framework to enforce student to learn consistent predictions over the pseudo-labels generated by teacher. However, the performance of the student model is limited since the noise inherently exists in pseudo-labels. In this paper, we investigate the causes and effects of noisy pseudo-labels and propose a simple yet effective approach denoted as Self-Correction Mean Teacher(SCMT) to reduce the adverse effects. Specifically, we propose to dynamically re-weight the unsupervised loss of each student's proposal with additional supervision information from the teacher model, and assign smaller loss weights to possible noisy proposals. Extensive experiments on MS-COCO benchmark have shown the superiority of our proposed SCMT, which can significantly improve the supervised baseline by more than 11% mAP under all 1%, 5% and 10% COCO-standard settings, and surpasses state-of-the-art methods by about 1.5% mAP. Even under the challenging COCO-additional setting, SCMT still improves the supervised baseline by 4.9% mAP, and significantly outperforms previous methods by 1.2% mAP, achieving a new state-of-the-art performance.
APA, Harvard, Vancouver, ISO, and other styles
9

Zheng, Jiongzhi, Zhuo Chen, Chu-Min Li, and Kun He. "Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/220.

Full text
Abstract:
MaxSAT is an optimization version of the famous NP-complete Satisfiability problem (SAT). Algorithms for MaxSAT mainly include complete solvers and local search incomplete solvers. In many complete solvers, once a better solution is found, a Soft conflict Pseudo Boolean (SPB) constraint will be generated to enforce the algorithm to find better solutions. In many local search algorithms, clause weighting is a key technique for effectively guiding the search directions. In this paper, we propose to transfer the SPB constraint into the clause weighting system of the local search method, leading the algorithm to better solutions. We further propose an adaptive clause weighting strategy that breaks the tradition of using constant values to adjust clause weights. Based on the above methods, we propose a new local search algorithm called SPB-MaxSAT that provides new perspectives for clause weighting on MaxSAT local search solvers. Extensive experiments demonstrate the excellent performance of the proposed methods.
APA, Harvard, Vancouver, ISO, and other styles
10

Colley, Rachael, Théo Delemazure, and Hugo Gilbert. "Measuring a Priori Voting Power in Liquid Democracy." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/290.

Full text
Abstract:
We introduce new power indices to measure the a priori voting power of voters in liquid democracy elections where an underlying network restricts delegations. We argue that our power indices are natural extensions of the standard Penrose-Banzhaf index in simple voting games. We show that computing the criticality of a voter is #P-hard even in weighted games with weights polynomially-bounded in the size of the instance. However, for specific settings, such as when the underlying network is a bipartite or complete graph, recursive formulas can compute these indices for weighted voting games in pseudo-polynomial time. We highlight their theoretical properties and provide numerical results to illustrate how restricting the possible delegations can alter voters' voting power.
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Pseudo-weights"

1

Kott, Phillip S. Calibration-Weighting a Stratified Simple Random Sample with SUDAAN. RTI Press, 2022. http://dx.doi.org/10.3768/rtipress.2022.mr.0048.2204.

Full text
Abstract:
This report shows how to apply the calibration-weighting procedures in SAS-callable SUDAAN (Version 11) to a stratified simple random sample drawn from a complete list frame for an establishment survey. The results are calibrated weights produced via raking, raking to a size variable, and pseudo-optimal calibration that potentially reduce and appropriately measure the standard errors of estimated totals. The report then shows how to use these procedures to remove selection bias caused by unit nonresponse under a plausible response model. Although unit nonresponse is usually assumed to be a function of variables with known population or full-sample estimated totals, calibration weighting can often be used when nonresponse is assumed to be a function of a variable known only for unit respondents (i.e., not missing at random). When producing calibrated weights for an establishment survey, one advantage the SUDAAN procedures have over most of their competitors is that their linearization-based variance estimators can capture the impact of finite-population correction.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Pseudo-weights' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography