Karşılaştırma analizinde eksik verilerin tahmini ve bir uygulama
Başlık çevirisi mevcut değil.
- Tez No: 68874
- Danışmanlar: PROF. DR. AZİZ BENER
- Tez Türü: Doktora
- Konular: Matematik, Mathematics
- Anahtar Kelimeler: Karşılaştırmalı analiz, Veri analizi, Comparative analysis, Data analysis
- Yıl: 1997
- Dil: Türkçe
- Üniversite: İstanbul Teknik Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: Matematik Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
Çok değişkenli veri analizinde, değişkenler arası ilişkilerin yapısı hak kında ön bilgilerin bulunmadığı hallerde bağımlılığın incelenmesinde çok sık kullanılan yöntemlerden biri olan Karşılaştırma Analizi tensörel bir yaklaşımla inşa edilerek, değişkenler ve bireyler kümesinin daha düşük boyutlu alt uzaylarda gösterilimi sağlanmıştır. Bu çalışmada, veri tablosunun tam olmadığı hallerde, mevcut verilerden hareket edilerek eksik verilerin tahmini için Karşılaştırma Analizi çerçevesinde iteratif bir yöntem önerilmiştir. Uygulama bölümünde, iki girişli veri tablosuna uygun olarak oluşturulan Türkiye'nin 1986-1995 yılları arasında 30 ülkeden 20 değişik ürünün ithalatı ile ilgili verilere Karşılaştırma Analizi uygulanmış ve elde edilen sonuçlar yorumlanmıştır. Son olarak 1995 yılı ithalat tablosundan rast- gele seçilen bazı hücreler boşaltılıp bu hücrelerin değerleri önerilen yön teme göre tahmin edilerek elde edilen değerlerin başlangıç değerlerle olan uygunluğu test edilmiştir.
Özet (Çeviri)
The purpose of the data analysis methods is to represent the large sets. Even though the techniques used here are old fashioned but their improvements are quite new. These methods that are used to understand and interprete the rela tions between individuals and variables using some characteristics which are obtained from the data table, can be examined in two groups On the other hand, correspondence analysis techniques require com plete data, otherwise the interpretation of factors may become impossible. First of all, collected data which are applied to correspondence anal ysis should be known in some respects, i.e., data may contain specific errors in terms of homegenity and exhaustivity. In this study, the method of the correspondences analysis is inves tigated from the point of view of tensor algebra and the estimation of missing data are essentially examined by this method. First in 1930's H.Hotelling, C.Spearman and K.Pearson took into ac count this method and then it is improved in 1960 by J.P.Benzecri. Let I and J be two sets with finite number of elements. We consider the following Ku rectangular table Ku = {k(iJ) | iel, j e J} where k(i,j) > 0 then we obtain from Ku the frequency table Fjj- Fu-ifij | iel, jeJ] ; fij = ^ k = 5>(i, j) | iel, j e J}Here dividing every fij(i ? /) by the mass fj which is the sum of jth column, it yields -Fj - {// »//)“. j // j...>// } This table can be considered as a mixed tensor of type (1,1). By assigning the mass fj to each fj, we obtain the set of points that we represent by N(J) N(J) = {(fİ, /i) I J e J} c Ri this is the set of variables. In the same manner the FJ table and the set of individuals N(I) can be obtained from Fu N(I) = {(/>, fi) I i ? 1} C Rj In the space Ri we define a metric by the quadratic form 6f m II _ = {m”| M'e/}, m“ =f- The matrix M which represents the above quadratic form defines an isometry of R on R. If u° is the unit vector in the space Rj according to the metric m11 with matrix M, the projection of fj on the axis AuJ is represented by ip3a and is defined in tensorial form by İİ = M(u?, fj) = mn(u<n(fj) = ¥>«(//) = VIa°fİ Here the symbol o is the transition defined between the measure fj and the function tp^ which is the orthogonal projection on the axes AuJ. At the same time this is the density function of u”according to //. The center of gravity gi of set of points is obtained as follows ixand it can be written as a tensor gi = fj ° fj- The quadratic inertia of the set of points about the subspace which is orthogonal to M~1(Sf) can be written as a tensor as follows on = (// o //) o fj Let Z be the matrix corresponding to F/, V be the matrix corre sponding to the tensor 07/ and Dp be diagonal weights matrix whose general element is djj = fj. It can be written as follows V = Z.Dp.Z' where V is a variance-covariance matrix. The aim of correspondences analysis is to search the nearest Hi sub- space to the set of N(J). This is {An? | a?[l,*]} The principal component of any point of the set which is on the a th axis İs found as M(fi) - <pao fj using the operator <pa = M(u°), where tfa is ath factor. Let {u° | a 6 A} be orthonormal axes system. It can be written If we consider -- = - 7=</>L> then is obtained. Because of the various reasons, the data table can contain various number of missing data and then we must interprete the existing data statistically. However, to be able to interprete the factors require com plete data table.In this study we suggest an iterative method, using existing data to estimate missing cells (values) in the data matrix based on relations between k(i,j) and factors. k.k(hJ) i _ k{i).k(J) i + £A-1/ajp«(0.G.C;)' If we take \-lt2Fi{i).Gx{j), *£\Z1/2F«(i)-Ga(J), J2\-^2Fa(i).Ga(j),... a=l o=l instead of full summation, we obtain ls<,2n<i,3r<i,... order aproxima- tion formulas. Our purpose is to fill up missing cells in the data table with esti mated values. The factors, which are obtained from the new full table, approaches to the factors exracted from original a complete table. In general, if we consider (s + 1)' step, the following terms are avail able from Kjj table, obtained at the end of the previous step: the sums fc(s+1)(v),fc(s+1)(.,j) and fc(s+1) the factors FQ{s+1)(i),Gjs+1\j) the eigen values A^s+1' and its percents t£s+1' Ah (s + 1) step provides (s + 1) stage approximation as follows > Khi) fcW(»).ifcw0'),(' + D i+EA«1/2iris)(0-c?Ls)(i) a=X if (i,j)?M otherwise where <ra+1' denotes the number of summation terms, thus Kjj table of (5 + l)t% approximation is jjcftH) = {*<.+!>(,.,,) 1 izijej} Approximations can be obtained at the end of all other steps are easily available in this way. XIIn the last section, (30x200) data matrix is created in accordance with the last decade (1986-1995) imports of Turkey from 30 countries and different 20 products are investigated by the correspondence analysis statistically. These data matrices are considered as two-way tables and the corre spondence analysis method is applied to these tables. The results of analysis reflect the variaton and the characteristics of last decade imports of Turkey. We have chosen some of data table's cells by generating random num bers on the data table, completed the data table using the method that we have proposed and obtained values close to initial values. xu
Benzer Tezler
- İki ve üç-boyutlu çapraz-sınıflanmış kategorik verilere log-linear modellerin uydurulması
Fetting the log-linear models to two and three-dimensional cross-classified categorical data
HÜDAVERDİ BİRCAN
- Yapım yönetimi öğretimi yüksek lisans programlarının karşılaştırmalı değerlendirmesi
Başlık çevirisi yok
DİLHUN AYDEMİR
- Ağaçlandırmalarda çok ölçütlü karar verme
Multicriteria decision making in afforestation
AHMET TÜRKER
Doktora
Türkçe
1986
Ormancılık ve Orman Mühendisliğiİstanbul ÜniversitesiOrman Mühendisliği Ana Bilim Dalı
DOÇ. DR. UÇKUN GERAY
- Water budget analysis of dam reservoirs
Baraj haznelerinde su bütçesi analizi
ÖNDER AYDEMİR
Yüksek Lisans
İngilizce
1997
İnşaat MühendisliğiOrta Doğu Teknik Üniversitesiİnşaat Mühendisliği Ana Bilim Dalı
PROF. DR. UYGUR ŞENDİL