Results 51 to 60 of about 13,308 (240)

Growth mindset is positively associated with mathematics attainment in Scotland—But socioeconomic status plays a greater role

British Educational Research Journal, EarlyView.
Abstract There is currently a gap in knowledge around pupils' growth mindset (GM) and attainment in Scotland, particularly in relation to Socioeconomic Status (SES). This study offers insights on the relevance of growth mindset in Scotland for attainment in mathematics by drawing on large‐scale data from the OECD's Programme for International Student ...
Catherine Reid, Ellen Boeren
wiley   +1 more source

Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley   +1 more source

Jackknife bias‐corrected variance estimation for the generalized regression estimator

Canadian Journal of Statistics, EarlyView.
Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley   +1 more source

Euclid preparation

Astronomy & Astrophysics
We develop techniques for generating accurate and precise internal covariances for measurements of clustering and weak-lensing angular power spectra. These methods have been designed to produce non-singular and unbiased covariances for Euclid’s large ...
Naidoo K., Ruiz-Zapatero J., Tessore N., Joachimi B., Loureiro A., Aghanim N., Altieri B., Amara A., Amendola L., Andreon S., Auricchio N., Baccigalupi C., Bagot D., Baldi M., Bardelli S., Battaglia P., Biviano A., Branchini E., Brescia M., Camera S., Capobianco V., Carbone C., Cardone V. F., Carretero J., Castellano M., Castignani G., Cavuoti S., Chambers K. C., Cimatti A., Colodro-Conde C., Congedo G., Conversi L., Copin Y., Courbin F., Courtois H. M., Da Silva A., Degaudenzi H., De Lucia G., Dubath F., Dupac X., Dusini S., Escoffier S., Farina M., Farinelli R., Farrens S., Faustini F., Ferriol S., Finelli F., Fosalba P., Frailis M., Franceschi E., Fumana M., Galeotta S., George K., Gillis B., Giocoli C., Gracia-Carpio J., Grazian A., Grupp F., Holmes W., Hormuth F., Hornstrup A., Jahnke K., Jhabvala M., Keihänen E., Kermiche S., Kiessling A., Kilbinger M., Kubik B., Kümmel M., Kunz M., Kurki-Suonio H., Le Brun A. M. C., Ligori S., Lilje P. B., Lindholm V., Lloro I., Mainetti G., Maino D., Maiorano E., Mansutti O., Marcin S., Marggraf O., Martinelli M., Martinet N., Marulli F., Massey R., Medinaceli E., Mei S., Mellier Y., Meneghetti M., Merlin E., Meylan G., Mora A., Moscardini L., Neissner C., Niemi S.-M., Padilla C., Paltani S., Pasian F., Pedersen K., Percival W. J., Pettorino V., Pires S., Polenta G., Poncet M., Popa L. A., Raison F., Rebolo R., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Rosset C., Saglia R., Sakr Z., Sánchez A. G., Sapone D., Sartoris B., Schneider P., Schrabback T., Secroun A., Sefusatti E., Seidel G., Seiffert M., Serrano S., Simon P., Sirignano C., Sirri G., Spurio Mancini A., Stanco L., Steinwagner J., Tallada-Crespí P., Tavagnacco D., Taylor A. N., Tereno I., Toft S., Toledo-Moreo R., Torradeflot F., Tutusaus I., Valenziano L., Valiviita J., Vassallo T., Verdoes Kleijn G., Veropalumbo A., Wang Y., Weller J., Zamorani G., Zerbi F. M., Zucca E., Allevato V., Ballardini M., Bolzonella M., Bozzo E., Burigana C., Cabanac R., Calabrese M., Cappi A., Di Ferdinando D., Escartin Vigo J. A., Gabarra L., Martín-Fleitas J., Matthew S., Mauri N., Metcalf R. B., Pezzotta A., Pöntinen M., Risso I., Scottez V., Sereno M., Tenti M., Viel M., Wiesmann M., Akrami Y., Andika I. T., Anselmi S., Archidiacono M., Atrio-Barandela F., Balaguera-Antolinez A., Bertacca D., Bethermin M., Blanchard A., Blot L., Borgani S., Brown M. L., Bruton S., Calabro A., Camacho Quevedo B., Caro F., Carvalho C. S., Castro T., Cogato F., Conseil S., Cooray A. R., Davini S., Desprez G., Díaz-Sánchez A., Diaz J. J., Di Domizio S., Diego J. M., Dimauro P., Enia A., Fang Y., Ferrari A. G., Ferreira P. G., Finoguenov A., Fontana A., Franco A., Ganga K., García-Bellido J., Gasparetto T., Gautard V., Gaztanaga E., Giacomini F., Gianotti F., Gozaliasl G., Guidi M., Gutierrez C. M., Hall A., Hernández-Monteagudo C., Hildebrandt H., Hjorth J., Joudaki S., Kajava J. J. E., Kang Y., Kansal V., Karagiannis D., Kiiveri K., Kirkpatrick C. C., Kruk S., Lattanzi M., Legrand L., Lembo M., Lepori F., Leroy G., Lesci G. F., Lesgourgues J., Leuzzi L., Liaudat T. I., Macias-Perez J., Maggio G., Magliocchetti M., Mannucci F., Maoli R., Martins C. J. A. P., Maurin L., Miluzio M., Monaco P., Moretti C., Morgante G., Nadathur S., Navarro-Alsina A., Pagano L., Passalacqua F., Paterson K., Patrizii L., Pisani A., Potter D., Quai S., Radovich M., Rocci P.-F., Sacquegna S., Sahlén M., Sanders D. B., Sarpa E., Schneider A., Sciotti D., Sellentin E., Smith L. C., Tanidis K., Testera G., Teyssier R., Tosi S., Troja A., Tucci M., Valieri C., Venhola A., Vergani D., Verza G., Vielzeuf P., Walton N. A.   +281 more
doaj   +1 more source

On the Simulation Study of Jackknife and Bootstrap MSE Estimators of a Domain Mean Predictor for Fay‑Herriot Model

Acta Universitatis Lodziensis. Folia Oeconomica, 2017
We consider the problem of the estimation of the mean squared error (MSE) of some domain mean predictor for Fay‑Herriot model. In the simulation study we analyze properties of eight MSE estimators including estimators based on the jackknife method (Jiang,
Małgorzata Karolina Krzciuk
doaj   +1 more source

Linking species distribution models with population abundance to support adaptive fisheries management

Ecography, EarlyView.
Understanding how environmental variability structures essential fish habitat (EFH) is central to managing keystone populations in dynamic marine ecosystems. Using nearly three decades of standardized survey data (1994–2021) from the Adriatic Sea, we present the first basin‐scale, process‐based framework linking estimated habitat suitability and ...
Mahallelah Shauer, Roberto Massaro, Olimide Temitope Julius, Franceso Zangaro, Marco Rainó, Francesca Marcucci, Valeria Specchia, Armando Cazzetta, Nicholas R. Record, Maurizio Pinna   +9 more
wiley   +1 more source

Glymphatic dysfunction couples with cortical excitation–inhibition imbalance in epilepsy: Evidence from Rasmussen encephalitis

Epilepsia, EarlyView.
Cong Fu et al. demonstrate that glymphatic system dysfunction is linked to enhanced inhibitory cortical activity using diffusion MRI and EEG. These findings highlight a mechanistic link between perivascular fluid dynamics and neuronal activity, suggesting a role for glymphatic function in maintaining cortical stability in epilepsy.
Cong Fu, Yujiao Yang, Pan Gong, Kun Lv, Yilin Liu, Chongyang Tang, Xiongfei Wang, Lixin Cai, Qingzhu Liu, Yuwu Jiang, Taoyun Ji, Guoming Luan   +11 more
wiley   +1 more source

Using jackknife to assess the quality of gene order phylogenies

BMC Bioinformatics, 2010
Background In recent years, gene order data has attracted increasing attention from both biologists and computer scientists as a new type of data for phylogenetic analysis.
Luo Haiwei, Zhang Yiwei, Shi Jian, Tang Jijun   +3 more
doaj   +1 more source

Re-sampling in Linear Regression Model Using Jackknife and Bootstrap [PDF]

المجلة العراقية للعلوم الاحصائية, 2010
Statistical inference is based generally on some estimates that are functions of the data. Resampling methods offer strategies to estimate or approximate the sampling distribution of a statistic.
Zakariya Y. Algamal, Khairy B. Rasheed
doaj   +1 more source

What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom

Equine Veterinary Journal, EarlyView.
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock, John Grewar, Richard Newton   +2 more
wiley   +1 more source