Logistic inenga: tauira me ngā tikanga

и дискриминантного анализа используются тогда, когда необходимо четко дифференцировать респондентов по целевым категориям. logistic regression me tātari discriminant e whakamahia i te mea e tika ana ki te āta rerekëtanga ngā kāwai ngā. Ano, i enei rōpū ko te kotahi taumata tawhā univariate. а также выясним, для чего она нужна. A feruri i atu taipitopito tauira logistic regression, me te kitea i roto i te mea i reira hoki.

Overview

, может выступать классификация респондентов по группам покупающих и не покупающих горчицу. He tauira o te raruraru, i roto i te otinga e whakamahia nei te logistic regression, kia waiho hei whakarōpū o kaiurupare i te hoko rōpū, me te kore hoko i te pua nani. kawea te pārōnaki i roto i rite ki ngā āhuatanga pāpori-tatauranga. Ko ētahi o ēnei, i roto i ngā, ngā tau, te ira tangata, te maha o te mau melo o te utuafare, moni, me te pera i runga i. He paearu ki te rerekëtanga me te tāupe i roto i te mahi. Ko te whakamutunga encodes te kāwai ūnga mo e, i roto i te meka, Me ki wehe ngā.

onäianei

, значительно уже, чем для дискриминантного анализа. Me mea te reira e te whānuitanga o ngā take i roto i nei te logistics inenga o tono, nui whaiti atu te tātari discriminant. I roto i tenei whakaaro, whakaaro te whakamahi o te muri rite he tikanga ao mō te pārōnaki te atu meinga. Ano, tohunga tūtohu tīmata ki te tātari fakafaikehekehe'í ako whakarōpū. A tika i roto i te take o te papû ore mo te hua e taea te whakamahi logistic regression. meinga tenei hei akiaki e te maha o ngā āhuatanga. используется при наличии четкого представления о типе независимых и зависимых переменных. whakamahia logistic regression te ka i reira te mea he mārama whakaaro e pā ana ki te momo o ngā taurangi motuhake, me te ririki. Nä, ko te tīpakohia tetahi o nga ngā tukanga taea 3. A, no te te tātari discriminant, kei te mahi tonu te kairangahau ki te mahi pateko. whai wāhi te reira i tetahi ti'aturi, me te rave rahi taurangi categorical motuhake ki te tauine o tetahi momo.

momo

, состоит в определении вероятности того, что определенный респондент будет отнесен к той или иной группе. rangahau tatauranga whāinga, e whakamahi ana i te logistic regression, ko ki te whakatau i te tūponotanga e ka whakaritea he kaiurupare ngā ki te rōpū ngā. kawea pārōnaki te i roto i rite ki etahi tawhā. I roto i te mahi, kia rite ki nga uara o tetahi ranei ake motuhake āhuatanga e taea te whakarōpūtia ki e rua ngā rōpū o ngā. . I roto i tenei take, i reira he he logistic regression rua. Ka taea te whakamahi hoki ngā tawhā tohua i roto i te tohanga ki te rōpū, ko te nui atu i te rua. I roto i te āhuatanga i taua i reira ko te multinomial logistic regression. Ua faaite te rōpū hua taumata o tetahi tāupe kotahi.

tauira

Tera pea i reira he whakautu ngā 'ki te pātai o mehemea he hiahia i roto i te tuku ki te hoko whenua i roto i nga wahi o waho ake o Moscow ratou. I roto i tenei take, nga kōwhiringa he "kahore" me "ae." E ti'a ia tatou ki te kitea i roto i te mea take i te mana matua i runga i te whakatau o kaihoko pea. Hoki tenei kaiurupare e ui pātai e pā ana ki te hanganga o te rohe, te tawhiti ki te whakapaipai, rohe whenua, aroaro / ngaro o whare noho, me te pera i runga i. Mā te inenga o-rua, e taea te tohaina i roto i rua ngā rōpū o ngā. Ka ngā Ko te tuatahi te hunga e e hiahia i roto i te hoko - kaihoko pea, me te tuarua, aua, te hunga e kore e hiahia i roto i te tuku i taua nei. Hoki ia kaiurupare, i roto i te tua, e kia tātai ai i te tūponotanga o te taumahi ki tetahi kāwai ranei tetahi.

āhuatanga whakataurite

Rerekē te taatou e rua i runga ake ngā i roto i te tau rerekē, me te momo o ngā rōpū ririki, me te taurangi motuhake. I roto i te inenga ā-rua, mo te tauira, ako te ti'aturiraa tauwehe wehewehe i tetahi ranei ake motuhake tikanga. I roto i tenei take, kia kia te whakamutunga o tetahi momo o tauine. whakaaro regression multinomial te he ahua o putanga o te whakarōpūtanga. pā ana te reira ki te tāupe ti'aturi mō neke atu i te 2 ngā rōpū. Me whai āhuatanga motuhake rānei te raupapa tauine iti ranei.

Hokinga logistic i roto i te SPSS

Te 11-12 mōkihi tauanga, whakaurua te putanga hou o te tātaritanga - raupapa. whakamahia tēnei tikanga te ina pā take ti'aturi ki te taua ingoa (raupapa) tauine. I roto i tenei take i tīpakohia te taurangi motuhake kotahi momo ngā. Me waiho ratou rānei raupapa iti ranei. Whakarōpū i roto i te maha o ngā kāwai whakaaro te te pūkenga tino. Ka taea te whakamahi i tēnei tikanga i roto i ngā akoranga katoa e whakamahia logistic regression. , однако, можно только с помощью всех трех приемов. Te whakapai ake i te kounga o te tauira, Heoi, ko te taea anake mā te whakamahi i te katoa ngā tikanga e toru.

whakarōpū raupapa

Kei te mea te reira e kore mua i roto i te mōkihi tauanga i whakaratohia te whai wāhi ki te mahi i te tātaritanga motuhake angamaheni mō ngā āhuatanga ririki ki te tauine raupapa. No te taurangi katoa, ki te maha o ngā rōpū o neke atu i te 2 whakamahia kōwhiringa multinomial. he maha o ngā āhuatanga whakaurua ngā tata tātari raupapa kua. tango ratou ki pūkete nga pau o te tauine reira. часто не рассматривается как отдельный прием. Na, i roto i te mau buka huarahi e kore te maha tukinotia raupapa logistic regression rite te fariiraa motuhake. Ko te take, ko te rite whai: e kore e tātari rangatū i tetahi painga nui i runga i multinomial. kia pai te whakamahi i te kairangahau te whakamutunga i roto i te aroaro me te raupapa, me te taurangi whakawhirinaki iti. I roto i te raveraa i te reira, e tata indistinguishable i ia atu te tukanga whakarōpū. tikanga o tēnei e kore e meinga te tātari kia pupuri tetahi raruraru.

tātari o ngā kōwhiringa

A feruri i te take ohie - te inenga ā-rua. Hei tauira, i roto i te tukanga o te hokohoko rangahau tata tono mō paetahi o etahi whare wānanga tāone. I roto i te pātai, ka ui ngā i ngā pātai, tae atu:

1. Kei te mahi koe? (Ql).
2. Tauwhāiti tau tu'ite (q 21).
3. He aha te mea te kaute toharite o te putanga (Aver).
4. Ira (q22).

позволит оценить воздействие независимых факторов aver, q 21 и q 22 на переменную ql. Ka aromatawai inenga logistic te pānga o ngā āhuatanga motuhake Aver, q 21 me te q 22 i ql tāupe. Mämä noa iho, te whakaaro o te tātaritanga ko ki te whakatau i te mahi pea o paetahi i runga i te pūtake o te kōrero i runga i te mara, te mutunga o te tau, me te kaute toharite.

Hokinga logistic

Hei whakaturia tawhā whakamahi ana i inenga ā-rua, te whakamahi i tahua Analyze►Regression►Binary Logistic. I roto i te Logistic Hokinga ki te whiriwhiri i roto i te rārangi i mahue o ngā taurangi e wātea ana take ti'aturi. Ko ql ratou. Me whakanohoia tenei tāupe i te parae Takitini. I muri i taua, me tomo koutou nga Covariates pae āhuatanga motuhake - q 21, q 22, Aver. Na e hiahia ana koe ki te whiriwhiri i te ara o te tae atu ratou i roto i te tātari. Ki te te maha o ngā āhuatanga motuhake o neke atu i te 2, e kore e whakamahi i te tikanga o te whakahaere tukutahi o nga taurangi katoa, tāutatia nei i taunoa, me taahiraa i te taahiraa. whakaaro te ara tino rongonui te Whakamuri: LR. Mā te whakamahi i te Tīpakohia pātene, e kore e taea e koutou te whakauru i roto i te ako o ngā katoa, a anake te kāwai ūnga motuhake.

Tautuhi Ngā Tāupe categorical

pātene categorical ki te whakamahi i roto i te take, ina te whakatau tetahi o nga taurangi ki te maha o ngā kāwai o neke atu i te 2. I roto i tenei āhuatanga, Tautuhi tāupe i categorical matapihi i roto i te teihana categorical Covariates whakanohoia tika te kōwhiringa taua. I roto i tenei tauira, kei te ngaro i te tāupe taua. I muri i taua rārangi i te taka-iho, tīpako i te Pūrata Ine tūemi me te pāwhiri i te pātene Huri. Ka rite ki te hua, ka etahi o nga taurangi ti'aturi kia hanga i ia o te take tauanga. hāngai ratou tokomaha ki te maha o nga ngā taketake o te kāwai.

Tiaki Ngā Tāupe New

Whakamahia te pātene Tiaki i roto i te ako matua whakatakotoria te ki te waihanga pouaka kōrero tautuhinga hōu. Ka Kei roto ratou tau tātai i roto i te tukanga o te inenga o. I roto i ngā, he reira taea ki te hanga i taurangi e whakatau:

1. No ki te kāwai ngā o te whakarōpū (Groupmembership).
2. Ko te tūponotanga o whakarōpū ngā i roto i ia rōpū ako (tūponotanga).

A, no te whakamahi i te pātene kairangahau Kōwhiringa kore e riro i tetahi whai wāhitanga nui. Fakatatau ki ai, Ka taea te waiho i te reira. I muri te pēhi i te pātene "OK" i roto i te matapihi matua ka whakaaturia hua tātari.

mana Kounga o te hāngaitanga logistic regression

A feruri i te tepu katoa ki Testsof Model whakarea. Whakaatu te reira i te hua o te tātaritanga o te kounga o te tauira āwhiwhitanga. Nā ki te meka e te kōwhiringa āpitihanga, e hiahia ana koe ki te mataara i te hua o te atamira whakamutunga (Step2) kua whakaturia. E kia whakaaro he hua pai, i roto i nei te hua kitea taupū Chi-tapawha i roto i te whakawhitinga ki te taahiraa i muri i te tohu tiketike o te hiranga (Sig. <0,05). tata te kounga o te tauira i roto i te rārangi Tauira. Ki te whiwhi koe i te uara kino, engari e kore e te reira whakaaro rite nui te mea te tauira papanga tiketike whānui, ka taea te whakamutunga te whakaaro ngā pai.

tepu

whakarato tauira Whakarāpopototanga te tata o te katoa taupū manene, e whakaahua ana i te tauira i hangaia (ahua R Square). e tūtohu ana ki te tono i te uara Nagelker. Ka taea te whakaaro tohu pai rite te tawhā Nagelkerke R Square, ki te he te reira ki runga ake i 0.50. I muri i taua arotakea nga hua o te whakarōpū i roto i nei e whakaritea nga tohu tūturu o no ki tetahi tetahi kāwai o te ako ranei ki te hunga tohu e te tauira inenga o. Hoki tenei whakaaro i te Ripanga tepu Classification. Ka taea anō hoki ki a koutou whakatau e pā ana ki te tika o te pārōnaki mo ia o te rōpū i roto i te pātai. . hanga te tepu e whai ake reira taea ki te kitea ngā āhuatanga motuhake tauanga nui tomo ki te tātari me te he kore-paerewa tauwehe logistic regression. I runga i te pūtake o enei tohu e taea matapae hononga o ia kaiurupare i roto i te tauira ki te rōpū motuhake. taea taurangi New te tomo te whakamahi i te pātene Tiaki. Ka Kei roto ratou mōhiohio i runga i te mema o te kāwai ngā whakarōpū (Predictedcategory) me te tūponotanga o te whakauru i roto i enei rōpū (mema tūponotanga tohu). I muri te pēhi i te pātene "OK" i roto i te matapihi matua ka puta ngā hua tātai multinomial Logistic Hokinga.

Ko te tepu tuatahi, e kei tohu nui mo te kairangahau, - Tauira Mōhiohio Totonu. ka tohu te taumata tiketike o te hiranga tauanga ki te kounga tiketike, me te arotau o te whakamahi o tauira ki te whakaoti rapanga whaitake. Ko tētahi atu tepu nui ko te tupurangi R-Square. āhei te reira ki a koutou whakatau tata i te rahi o te rerekētanga katoa i roto i te take ti'aturi, meinga nei e te taurangi motuhake tīpakohia mō te tātari. E ai ki whakamātau Ratio tūponotanga Ripanga taea whakatau e pā ana ki te hiranga tauanga o te muri. whakaata i te Estimates tāwhā whakarea kore-paerewa. E whakamahia ratou i roto i te hanga o te whārite. I tua atu, i whakaritea hoki ia huinga o ngā taurangi e te auraa tauanga o ratou pānga i runga i te take ti'aturi. Na, ko te rangahau mākete maha e tika ana ki te rerekëtanga ki te kāwai o ngā kore motuhake, engari ka rite ki tetahi wahi o te rōpū ūnga. Hoki tenei whakaaro i te tepu Observedand iarere tohu.

tono mahi

Kei te whakamahia whānuitia tikanga whakaaro o te tātaritanga i te mahi o nga kaihokohoko. I roto i te 1991, i whakawhanakehia te tohu sigmoid logistic regression. Ko ia he taputapu ngāwari-ki-te whakamahi, me te tōtika e taea te whakamahi ki te matapae i te utu pea ki ratou "pukā". te aroaro tohu i runga i te kauwhata i roto i te puka o te awa i hanga e rua ngā rārangi whakawhānui i whakarara. nekehia atu ratou i te tawhiti rite i te au. Ka whakawhirinaki anake te whanui o te kauhanga roa i runga i te wā. whakamahia te tohu kei te ka mahi ki tata katoa te rawa - i moni takirua ki konganuku utu nui.

I roto i te mahi, whakaputaina ana e ia 2 rautaki matua mo te whakamahi o te taputapu: rärangi, me te hokinga whakamuri. I roto i te take whakamutunga e arotahi te kaihokohoko i runga i nga akiakinga o huringa utu i roto i te teihana. I Ko te tūponotanga e tīmata te kaupapa i roto i te huarahi i te ritenga rite whakatata reira te utu o te tautoko ranei resistance auau raina. Ki te he āta pai ki te rohe o runga te utu, ka taea te whakakorea te rawa. Ki te he te reira i te rohe o raro, kia whakaaro koutou e pā ana ki te hoko. rärangi Rautaki tā te whakamahi o mana mau. E tāuta ratou ki waho nga rohe o te tawhiti ngā poto. Tango ki pūkete e te utu i roto i ētahi wā ofati ratou mo te wa poto, kia takaro koe haumaru reira, ka whakaturia ki te mutu-mate. I te wa ano, o te akoranga, ahakoa o te rautaki whiriwhiri titau te kaihokohoko ki te whakanui kowaiwai kite me te aromatawai i te āhuatanga kua puta ake e i roto i te mākete.

mutunga

Ko te kupu, ko te whakamahi o te logistic regression taea ki a koe hohoro a ngāwari whakaröpü ngā ki ngā kāwai i runga ki te tawhā i tohua. A, no te tātari i te whakamahi taea o te ara etahi. I roto i ngā, i te ringa rehe o rerekē regression multinomial. Heoi, tūtohu tohunga te whakamahi o nga tikanga katoa whakaahuatia ana i runga i roto i te matatini. Ko e tika ana ki te meka i roto i tenei take, ka waiho tino teitei te kounga o te tauira tenei. Tenei, i roto i te tahuri, te whakawhānui i te whānuitanga o tona tono.