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Journal articles on the topic 'Multivariat analys'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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1

Manawan, Fridly, Gunawan Pamudji Widodo, and Tri Murti Andayani. "COST OF ILLNESS PASIEN KANKER PAYUDARA DI RUMAH SAKIT UMUM PUSAT PROF DR R.D KANDOU MANADO." Jurnal Farmasi Medica/Pharmacy Medical Journal (PMJ) 2, no. 2 (December 2, 2019): 86. http://dx.doi.org/10.35799/pmj.2.2.2019.26532.

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ABSTRACTBreast cancer still became priority concern in developed country, but 69% the dead incident came from developing country. Many of them been diagnose at advance stage, that make treatment and cost more higly. The objectives of this study were to know the burden cost of breast cancer patient in Prof Dr Kandou Medical Center Manado based on hospital perspective, the difference between the real cost and the INA-CBG’s cost, and the key factors that might drive the burden of the real cost of breast cancer. The study was a pharmacoeconomics analys based on hospital perspective to direct medical cost, using non-experimental analysis with cross-sectional design. Data restropectively collect from breast cancer inpatient registered as member of National Health Insurance (JKN) during September 2017-August 2018 period and from financial department of Prof Dr Kandou Medical Center Manado. The sample was used 329 episode of treatment. the data being analyzed using one sample t-test to compare the congruence between the real cost and INA-CBG’s cost. Multivariat linear regression Analysis to find the various predictor factors that might affect on the real cost. The result of the study showed that the average of the real cost per episode of treatment in chemotherapy patient with C-14-3 code was Rp. 13.806.325, treatment in breast procedure with L-1-50 code was Rp. 24.306.626, and treatment for breast tumor with L-4-11 code was Rp. 11.989.772. The difference value between INA-CBG’s and the real cost was Rp. -668.973.281 for 183 breast cancer patient. The congruence value between the real cost and the INA-CBG’s cost generally significantly different except for C-4-13-II, L-1-50-III and L-4-11-I. Based on multivariat linier regression analysis, severity level, :LOS, and treatment care was the factors that affect the real cost. Keywords : Cost of illness, INA-CBG’s, Breast Cancer, Prof. Dr. R.D Kandou Medical Center Hospital Manado ABSTRAKKasus kanker payudara memang menjadi permasalahan penting di negara maju, namun 69% angka kematian terjadi di negara berkembang. Kebanyakan kasus kanker payudara ditemukan berada pada stadium lanjut, dimana menyebabkan upaya dan nilai biaya pengobatan semakin besar. Tujuan penelitian ini adalah untuk mengetahui biaya terapi penyakit kanker payudara di RSUP Prof Dr Kandou Manado berdasarkan perspektif rumah sakit, mengetahui perbedaan antara tarif rumah sakit dengan tarif paket INA-CBGs pada perawatan pasien kanker payudara, dan mengetahui faktor apa saja yang berpengaruh terhadap besarnya biaya terapi penyakit kanker payudara. Penelitian ini merupakan analisis farmakoekonomi berdasarkan perspektif rumah sakit terhadap biaya medis langsung, berupa penelitian analitik noneksperimental dengan rancangan penelitian cross sectional. Data diambil secara retrospektif dari pasien rawat inap kanker payudara peserta Jaminan Kesehatan Nasional (JKN) selama periode September 2017-Agustus 2018 dan dari bagian keuangan di RSUP Prof Kandou Manado. Sampel yang digunakan adalah sebanyak 329 episode perawatan. Analisis data dilakukan dengan one sample t-test untuk membandingkan total biaya riil dengan tarif INA-CBGs. Analisis korelasi multivariat regresi linier untuk mengetahui faktor yang mempengaruhi total biaya riil. Hasil penelitian pasien rawat inap peserta JKN di RSUP Prof Dr Kandou Manado periode September 2017 – Agustus 2018 menunjukkan rata-rata biaya riil pasien kemoterapi per episode perawatan dengan kode C-4-13 sebesar Rp. 13.806.325, tindakan pada payudara dengan kode L-1-50 sebesar Rp. 24.306.626 dan tumor payudara dengan kode L-4-11 sebesar Rp. 11.989.772. Selisih tarif INA-CBG’s dengan total biaya riil adalah sebesar Rp.-668.973.281 untuk total 183 pasien. Kesesuaian total biaya riil dengan tarif INA-CBG’s menggunakan one sample t-test secara umum berbeda bermakna, kecuali pada kode C-4-13-II, L-1-50-III dan L-4-11-I. Berdasarkan analisis korelasi multivariat regresi linier, Faktor tingkat keparahan, LOS dan kelas perawatan mempengaruhi total biaya riil. Kata kunci: Cost of illness, INA-CBG’s, Kanker payudara, Rumah Sakit Umum Pusat Prof. Dr. R.D. Kandou Manado
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2

Fischer, Hagen S. "Multivariate analysis of phenological data." Phytocoenologia 30, no. 3-4 (November 24, 2000): 477–89. http://dx.doi.org/10.1127/phyto/30/2000/477.

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3

Beyreuther, Christoph, Heinz Wohlrabe, Klaus-Jürgen Wolter, and André Köhler. "Multivariate Bohrbildkontrolle und -analyse." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 103, no. 7-8 (August 18, 2008): 526–30. http://dx.doi.org/10.3139/104.101319.

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4

Álvarez-Olguín, Gabriela, Natalia Hotait-Salas, and Fidencio Sustaita-Rivera. "Identificación de regiones hidrológicas homogéneas mediante análisis multivariado." Ingeniería, investigación y tecnología 12, no. 3 (July 1, 2011): 277–84. http://dx.doi.org/10.22201/fi.25940732e.2011.12n3.027.

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5

Steinmetz, Holger, Michael Bosnjak, and Rodrigo Isidor. "Meta-analytische Strukturgleichungsmodelle." Psychologische Rundschau 71, no. 2 (April 2020): 111–18. http://dx.doi.org/10.1026/0033-3042/a000483.

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Zusammenfassung. Meta-analytische Ansätze gehören in der Psychologie inzwischen zum einschlägigen Methodeninventar zur Synthese empirischer Befunde und zur Ableitung evidenz-basierter Maßnahmen. Bisher dominieren univariate Ansätze, welche auf die Integration und Analyse einzelner Effektstärken abzielen und damit zur Prüfung multivariater (Kausal–)‌Zusammenhänge von begrenztem Wert sind. Meta-analytische Strukturgleichungsmodelle (MASEM) stellen eine hilfreiche Erweiterung dar, da sie eine meta-analytische Analyse komplexer multivariater Strukturen ermöglichen. Darüber hinaus lassen sich mittels MASEM multivariate Effektstärkenabhängigkeiten sowie Mehrebenenstrukturen abbilden. Ziel des Beitrags ist, die konzeptionellen Grundlagen von MASEM zu skizzieren und anhand eines empirischen Beispiels aus der Organisationspsychologie zu illustrieren. Den Abschluss bildet eine kritische Diskussion der Limitationen des Ansatzes.
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El Wahidi, G. F., M. M. Al Awadi, H. A. Saker, A. El Shaat, and A. Horwich. "Prognostic factors in low grade NHL (A multivariate analys)." European Journal of Cancer 33 (September 1997): S269. http://dx.doi.org/10.1016/s0959-8049(97)86125-4.

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7

Khodasevich, M. A., and D. A. Borisevich. "Identification of Flax Oil by Linear Multivariate Spectral Analys." Journal of Applied Spectroscopy 86, no. 6 (January 2020): 996–99. http://dx.doi.org/10.1007/s10812-020-00929-z.

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8

Ahmed, Wondimu. "Motivation and Self-Regulated Learning: A Multivariate Multilevel Analysis." International Journal of Psychology and Educational Studies 4, no. 3 (September 1, 2017): 1–11. http://dx.doi.org/10.17220/ijpes.2017.03.001.

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9

Thames, Howard D. "Multivariate Analyse — Verstehen wir, was wir tun?" Medizinische Klinik 94, S2 (April 1999): 8–9. http://dx.doi.org/10.1007/bf03042018.

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Thames, Howard D. "Multivariate Analyse – Verstehen wir, was wir tun?" coloproctology 22, no. 6 (December 2000): 236–38. http://dx.doi.org/10.1007/pl00001872.

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11

Vier, D., S. Wambach, V. Schünemann, and K. U. Gollmer. "Infrarotspektroskopie und multivariate Modellierung zur Analyse von Hochzelldichtefermentationen." Chemie Ingenieur Technik 86, no. 9 (August 28, 2014): 1583. http://dx.doi.org/10.1002/cite.201450423.

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12

Garatti, Alexis. "Analyse multivariée des ratios de sacrifice européens." Économie internationale 103, no. 3 (September 1, 2005): 25–43. http://dx.doi.org/10.3917/ecoi.103.0025.

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13

Dittmar, Yves, Falk Rauchfuss, Felix Dondorf, Michael Ardelt, Hubert Scheuerlein, and Utz Settmacher. "Erweiterte pathohistologische Kriterien zur Bewertung der Langzeitprognose des Magenkarzinoms." TumorDiagnostik & Therapie 38, no. 08 (October 2017): 515–25. http://dx.doi.org/10.1055/s-0043-117150.

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Zusammenfassung Hintergrund Das Magenkarzinom zählt zu den häufigsten Tumorerkrankungen weltweit. Trotz zahlreicher Innovationen in der Diagnostik und Therapie ist die Prognose weiterhin schlecht, da die Detektion der Erkrankung auf tumorassoziierte Symptome angewiesen ist, welche in der Mehrzahl der Fälle spät auftreten. Eine weitere Verbesserung der Behandlungsergebnisse kann durch eine differenziertere und individuellere Bewertung der Tumorbiologie erzielt werden. Wir stellen hierzu eine umfangreiche Analyse potenziell prognostisch bedeutsamer Faktoren vor. Material und Methoden In einer prospektiv fortgeführten Tumordatenbank wurden von 1995 bis 2011 Daten von 923 Patienten mit Magenkarzinom zusammengetragen. Es erfolgte eine monovariate und multivariate Faktorenanalyse. Für die statistische Analyse wurde das Programm SPSS Version 19.0 verwendet. Die Literaturrecherche erfolgte mithilfe von Medline. Ergebnisse 748 Patienten wurden chirurgisch exploriert. Die Resektionsrate betrug 87 % mit einer Morbidität und Letalität von 27 und 9 % (2004 bis 2011: 13 und 5 %). 36 und 29 % der Patienten zeigten ein 5-Jahres- bzw. 10-Jahres-Überleben. Das 5- und 10-Jahres-Gesamtüberleben nach kurativer Resektion betrug 58 und 46 %. Die TNM-assoziierten Kriterien, die Tumorgröße, das histologische Wuchsmuster, die intestinale Metaplasie, die Tumorlage und die Lauren-Klassifikation hatten in der monovariaten Analyse einen statistisch signifikanten Einfluss. Multivariat erwiesen sich die kurative Resektion, der Lymphknotenstatus und die Tumorgröße als unabhängige Prognosefaktoren. 90 % der 238 Tumorrezidive traten innerhalb der ersten 5 Jahre auf. Das mediane rezidivfreie Intervall betrug 16 Monate. Je nach Rezidivart waren unterschiedliche Überlebenszeiten festzustellen. Für die 228 Patienten mit nodal negativem, kurativ reseziertem Magenkarzinom zeigte sich eine deutlich bessere Langzeitprognose. Monovariat analysierte Prognosefaktoren waren der diffuse Typ nach Lauren, die Tumorgröße, das nicht tubuläre histologische Wuchsmuster, das weibliche Geschlecht und der Nachweis einer Serosainfiltration durch den Primärtumor. In der multivariaten Analyse erwies sich die Tumorgröße als unabhängiger signifikanter Prognosefaktor (p = 0,05). Schlussfolgerung Die Auswertung der Daten zeigt, dass die Bewertung des Magenkarzinoms durch weitere, bislang nicht etablierte Faktoren sinnvoll erweitert werden kann. Der Benefit einer individuell strukturierten Therapie und Nachsorge auf der Basis erweiterter Kriterien sollte in zukünftigen Studien geprüft werden.
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14

Novák, J., H. Sůvová, and J. Vondráček. "Multivariate statistical methods as a tool of financial analysis of farm businesses." Agricultural Economics (Zemědělská ekonomika) 48, No. 1 (February 29, 2012): 9–12. http://dx.doi.org/10.17221/5281-agricecon.

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The paper is focused on the evaluation of the possibilities of analysing the relations between economic and financial indicators of farm businesses by the application of multivariate statistical methods. It also indicates the possibilities of the construction of a general economic indicator of business effectiveness.
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15

Lina Liu, Lina Liu, Changshun Yang Changshun Yang, Weihua Li Weihua Li, Buhong Li Buhong Li, and Shusen Xie Shusen Xie. "Analysis of colonic autofluorescence spectra using multivariate curve resolution alternating least squares." Chinese Optics Letters 12, no. 5 (2014): 051705–51708. http://dx.doi.org/10.3788/col201412.051705.

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16

Hosmani, Dr Shankar P., Kavya S. Kavya S, and Savitha Ulavi. "Multivariate Analysis for distribution of Phytoplankton Community in two Lakes of Mysore." Global Journal For Research Analysis 3, no. 8 (June 15, 2012): 93–95. http://dx.doi.org/10.15373/22778160/august2014/28.

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17

Charpin, Françoise. "Une analyse économétrique multivariée du comportement des ménages." Revue de l'OFCE 66, no. 1 (1998): 199–227. http://dx.doi.org/10.3406/ofce.1998.1513.

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18

Rogers, W. J., J. L. Robutti, S. E. Lerner, A. M. Di Martino, N. R. Ponzio, F. S. Borrás, M. Cogliatti, M. L. Seghezzo, and E. R. Molfese. "Multivariate RP-HPLC analysis as a tool in quality studies in durum wheat." Czech Journal of Genetics and Plant Breeding 41, Special Issue (July 31, 2012): 314–18. http://dx.doi.org/10.17221/6206-cjgpb.

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19

Choi, Eun Young, and So-Hyun Joo. "Exploring the Relationship between Retirement and Life Satisfaction using Multivariate Multiple-regression Analysis." Consumer Policy and Education Review 14, no. 2 (June 30, 2018): 21–44. http://dx.doi.org/10.15790/cope.2018.14.2.021.

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20

Nesrine, Nasri, Bouhlila Rachida, and Riadh Ahmed. "Multivariate Statistical Analysis of Saline Water — A Case Study: Sabkha Oum LeKhialate (Tunisia)." International Journal of Environmental Science and Development 6, no. 1 (2015): 40–43. http://dx.doi.org/10.7763/ijesd.2015.v6.558.

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21

Armanuos, Asaad M., Abdelazim Negm, and Oliver C. Saavedra Valeriano. "Groundwater Quality Investigation Using Multivariate Analysis — Case Study: Western Nile Delta Aquifer, Egypt." International Journal of Environmental Science and Development 7, no. 1 (2016): 1–9. http://dx.doi.org/10.7763/ijesd.2016.v7.732.

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22

Ramasamy, Padma, Kalaivani Amitkumar, and Sundaresan Sivapatham. "Evaluation of Prognostic Factors in 198Buccal Mucosa Cancer Patients: Univariate and Multivariate Analysis." Indian Journal of Pathology: Research and Practice 6, no. 4 (Part-2) (2017): 1061–66. http://dx.doi.org/10.21088/ijprp.2278.148x.6417.40.

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23

Javadnejad, Farid, Javad EskandariShahraki, Sanaz Khoubani, Elham Kalantari, and Firouz Alinia. "Multivariate Analysis of Stream Sediment Geochemical Data for Gold Exploration in Delijan, Iran." International Journal of Research and Engineering 5, no. 2 (March 2018): 325–34. http://dx.doi.org/10.21276/ijre.2018.5.3.2.

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24

Bergmeier, Erwin. "The vegetation of the high mountains of Crete a revision and multivariate analysis." Phytocoenologia 32, no. 2 (June 12, 2002): 205–49. http://dx.doi.org/10.1127/0340-269x/2002/0032-0205.

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25

Carril, J. C., P. Llamas, J. R. Luis, S. Dios, and B. Caeiro. "DYS19 and DYS390 Y-STR polymorphism in the Iberian Peninsula: A multivariate analysis." Anthropologischer Anzeiger 61, no. 1 (March 26, 2003): 49–62. http://dx.doi.org/10.1127/anthranz/61/2003/49.

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26

Alfeld, Peter. "Multivariate Perpendicular Interpolation." SIAM Journal on Numerical Analysis 22, no. 1 (February 1985): 95–106. http://dx.doi.org/10.1137/0722006.

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27

Hufty, André. "Situations synoptiques et analyse multivariée des temps à Québec." Cahiers de géographie du Québec 20, no. 49 (April 12, 2005): 69–92. http://dx.doi.org/10.7202/021310ar.

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Les situations synoptiques et les gradients de température dans les basses couches de l'atmosphère ont été étudiés pendant une année à Québec, et les conditions du temps qui en dépendent ont été soumises à une analyse multivariée. Cette dernière montre que les éléments journaliers du temps se regroupent sous deux composantes principales: le rayonnement solaire absorbé au sol et le « potentiel hydrique », une fonction directe de l'humidité absolue et inverse du déficit de saturation. Les relations entre les situations synoptiques et les deux composantes principales qui résument les conditions du temps sont présentées sous forme graphique et dans un tableau de probabilité, qui permettent de faire la synthèse entre les deux types de classements des temps journaliers.
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28

Lauk, Michael. "Analyse des physiologischen Handtremors mit multivariaten Methoden der Zeitreihenanalytik." Biomedizinische Technik/Biomedical Engineering 41, s1 (1996): 638–39. http://dx.doi.org/10.1515/bmte.1996.41.s1.638.

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Bandeira Carvalho dos Santos, Nathália, Rayza Helen Graciano dos Santos, and Ronaldo Faustino da Silva. "Aplicação da Análise Multivariada e da Resolução CONAMA 357/2005 para Análise da Qualidade de Água em Rios de Pernambuco." Revista Brasileira de Geografia Física 11, no. 5 (2018): 1859–75. http://dx.doi.org/10.26848/rbgf.v11.5.p1859-1875.

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Belinsky, E., F. Dai, and Z. Ditzian. "Multivariate approximating averages." Journal of Approximation Theory 125, no. 1 (November 2003): 85–105. http://dx.doi.org/10.1016/j.jat.2003.09.005.

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Flinth, Axel, and Martin Schäfer. "Multivariate α-molecules." Journal of Approximation Theory 202 (February 2016): 64–108. http://dx.doi.org/10.1016/j.jat.2015.10.004.

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Arias García, J. J., H. De Meyer, and B. De Baets. "Multivariate Bertino copulas." Journal of Mathematical Analysis and Applications 434, no. 2 (February 2016): 1346–64. http://dx.doi.org/10.1016/j.jmaa.2015.09.059.

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33

Skopp, Robert. "Die neuen Unternehmer: Eine multivariate Analyse der Übernahmemotive bei ostdeutschen MBOs." Journal of East European Management Studies 2, no. 1 (1997): 35–55. http://dx.doi.org/10.5771/0949-6181-1997-1-35.

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34

Fehr, M., O. Köchli, U. Helfenstein, G. Schär, Ch Bussmann, D. Fink, and U. Haller. "Multivariate Analyse klinisch-pathologischer Prädiktoren der axillären Lymphknotenmetastasierung beim invasiven Mammakarzinom." Geburtshilfe und Frauenheilkunde 55, no. 04 (April 1995): 182–88. http://dx.doi.org/10.1055/s-2007-1023298.

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Zaitul, Zaitul, Welly Jefrita, and Dandes Rifa. "Karakteristik Anggota DPR dan Kinerja Pemerintah Daerah." Akurasi : Jurnal Studi Akuntansi dan Keuangan 4, no. 1 (June 20, 2021): 73–86. http://dx.doi.org/10.29303/akurasi.v4i1.66.

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This study aim to invetigate the relationship between legistlatif’s characteristics and Local Government Performance. Legislative’s characteristic is proxy by size, age, gender and education background of local legislatif ‘s members. Agency theory is used to underpinned this relationship. The secondary data is used and gathered through finance ministry’s website, and general election commissions. Using eighty-one local governments, multivariate regression analyis is applied to analyse the data. classical assumption test is assessed before interpretating the regression result. Based on the t statistic and p-value, all hypohoteses are rejected . however, local government revenue has negative effect on local government performance. Theortically, agency theory could not be used to understand the phonomena. Practical implication discuss in this paper.
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Dankowska, A., M. Małecka, and W. Kowalewski. "Discrimination of edible olive oils by means of synchronous fluorescence spectroscopy with multivariate data analysis." Grasas y Aceites 64, no. 4 (July 23, 2013): 425–31. http://dx.doi.org/10.3989/gya.012613.

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37

Khan, Afsheen. "Seedling dynamics and community forecast for disturbed forests of the Western Himalayas: a multivariate analysis." Journal of Forest Science 66, No. 9 (September 29, 2020): 383–92. http://dx.doi.org/10.17221/101/2020-jfs.

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The present study focuses on the forest structure of highly disturbed sites in Western Himalayan regions in Pakistan. In this study, the regeneration potential of conifer species is a key point for the assessment of future conifer status in disturbed environment by employing multivariate techniques. The forests are composed of four conifer species Pinus wallichiana A. B. Jacks, Pinus roxburghii Sarg., Cedrus deodara (Roxb.) G. Don, and Abies pindrow (Royle ex D. Don) Royle., associated with broadleaved species Quercus baloot Griffith, Quercus dilatata Raf., and Aesculus indica (Wall. ex Cambess.) Hook. Cluster analysis shows five groups when Pinus wallichiana (PW) forms the largest group, incorporates with other conifers and broadleaved species and in some cases it overlaps with its subgroups forming a pure larger group. Similarly in DCA (ordination) overlapping exists in all the axes while elevation is the only variable that shows a highly significant (P < 0.001) correlation with conifers. Cedrus deodara (CD) with Quercus baloot (QB) and Aesculus indica (AI) shares a significant (P < 0.05) correlation in the same habitat while there is no correlation between the remaining conifers. It is anticipated that overlapping in cluster analysis and ordination and non-significant correlations in cluster analysis and ordination are due to the highly disturbed nature of the sites. It is also suggested that seedling recruitment and development are highly affected due to the anthropogenic disturbance. Therefore, proper maintenance of the forest, proper management and conservational practice should be imposed.
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Arnold, Barry C., Enrique Castillo, and José María Sarabia. "Multivariate order statistics via multivariate concomitants." Journal of Multivariate Analysis 100, no. 5 (May 2009): 946–51. http://dx.doi.org/10.1016/j.jmva.2008.09.011.

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Laurin, Bernard, and Denis Didier Rousseau. "Analyse multivariée des associations malacologiques d'Achenheim. Implications climatiques et environnementales." Bulletin de l'Association française pour l'étude du quaternaire 22, no. 1 (1985): 21–30. http://dx.doi.org/10.3406/quate.1985.1523.

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40

de Boor, C. "Multivariate piecewise polynomials." Acta Numerica 2 (January 1993): 65–109. http://dx.doi.org/10.1017/s0962492900002348.

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This article was supposed to be on ‘multivariate splines». An informal survey, taken recently by asking various people in Approximation Theory what they consider to be a ‘multivariate spline’, resulted in the answer that a multivariate spline is a possibly smooth piecewise polynomial function of several arguments. In particular the potentially very useful thin-plate spline was thought to belong more to the subject of radial basis funtions than in the present article. This is all the more surprising to me since I am convinced that the variational approach to splines will play a much greater role in multivariate spline theory than it did or should have in the univariate theory. Still, as there is more than enough material for a survey of multivariate piecewise polynomials, this article is restricted to this topic, as is indicated by the (changed) title.
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41

Koch, Per Erik. "Multivariate trigonometric B-splines." Journal of Approximation Theory 54, no. 2 (August 1988): 162–68. http://dx.doi.org/10.1016/0021-9045(88)90016-0.

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42

Dai, F., and Z. Ditzian. "Combinations of multivariate averages." Journal of Approximation Theory 131, no. 2 (December 2004): 268–83. http://dx.doi.org/10.1016/j.jat.2004.10.003.

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43

Szili, L., and P. Vértesi. "On multivariate projection operators." Journal of Approximation Theory 159, no. 1 (July 2009): 154–64. http://dx.doi.org/10.1016/j.jat.2008.11.014.

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Xu, Zhiqiang. "Multivariate splines and polytopes." Journal of Approximation Theory 163, no. 3 (March 2011): 377–87. http://dx.doi.org/10.1016/j.jat.2010.10.005.

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Guillaume, Philippe, Alain Huard, and Vincent Robin. "Generalized Multivariate Padé Approximants." Journal of Approximation Theory 95, no. 2 (November 1998): 203–14. http://dx.doi.org/10.1006/jath.1997.3216.

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Cabral, J. J. S. P. "Multivariate splines." Engineering Analysis with Boundary Elements 9, no. 2 (January 1992): 192. http://dx.doi.org/10.1016/0955-7997(92)90071-e.

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Thayakaran, R., and N. I. Ramesh. "Multivariate models for rainfall based on Markov modulated Poisson processes." Hydrology Research 44, no. 4 (January 2, 2013): 631–43. http://dx.doi.org/10.2166/nh.2013.180.

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Abstract:
Point process models for rainfall are constructed generally based on Poisson cluster processes. Most commonly used point process models in the literature were constructed either based on Bartlett–Lewis or Neyman–Scott cluster processes. In this paper, we utilize a class of Cox process models, termed the Markov modulated Poisson process (MMPP), to model rainfall intensity. We use this class of models to analyse rainfall data observed in the form of tip time series from rain gauge tipping buckets in a network of gauges in Somerset, southwest England, recorded by the Hydrological Radar Experiment (HYREX). Univariate and multivariate models are employed to analyse the data recorded at single and multiple sites in the catchment area. As the structure of this proposed class of MMPP models allows us to construct the likelihood function of the observed tip time series, we utilize the maximum likelihood methods in our analysis to make inferences about the rainfall intensity at sub-hourly time scales. The multivariate models are used to analyse rainfall time series jointly at four stations in the region. Properties of the cumulative rainfall in discrete time intervals are studied, and the results of fitting three-state models are presented.
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Ghaani Farashahi, Arash. "Multivariate Wave-Packet Transforms." Zeitschrift für Analysis und ihre Anwendungen 36, no. 4 (2017): 481–500. http://dx.doi.org/10.4171/zaa/1598.

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Singh, S. N., and Sudha Asthana. "Multivariate shift invariant operators." Journal of Mathematical Analysis and Applications 118, no. 2 (September 1986): 422–42. http://dx.doi.org/10.1016/0022-247x(86)90271-4.

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Cao, Feilong, Chunmei Ding, and Zongben Xu. "On multivariate Baskakov operator." Journal of Mathematical Analysis and Applications 307, no. 1 (July 2005): 274–91. http://dx.doi.org/10.1016/j.jmaa.2004.10.061.

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